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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 2-RES-JB
    11. 14345
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    Explanations

    academic terms, especially related to teaching or lecture activities

    oai_token-act-pair · gpt-3.5-turbo

    references to teaching or lecturing roles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    Ô
    -0.84
     Cyprus
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     Addiction
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    GROUND
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    edia
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    GBT
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    FTWARE
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     earthqu
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    FIELD
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    FUL
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    POSITIVE LOGITS
    urers
    1.25
    uring
    1.17
    ured
    1.10
    urer
    1.05
    ivities
    1.00
     lect
    0.98
    ric
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    acles
    0.94
    erer
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    ivity
    0.91
    Activations Density 0.013%

    No Known Activations