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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. 11-RES-JB
    11. 7076
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    Explanations

    conditional statements regarding hypothetical scenarios

    oai_token-act-pair · gpt-3.5-turbo

    conditional statements or hypothetical scenarios

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    AMA
    -0.65
    foreseen
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     adolesc
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    usha
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    Favorite
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    ocations
    -0.58
     Checking
    -0.58
    GGGGGGGG
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    iky
    -0.58
    ADE
    -0.57
    POSITIVE LOGITS
     surely
    1.30
     undoubtedly
    1.21
     doubtless
    1.19
     be
    1.15
     probably
    1.12
     likely
    1.08
     certainly
    1.05
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    1.01
     vanish
    0.99
     cease
    0.98
    Activations Density 0.262%

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