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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. 7-RES-JB
    11. 7510
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    Explanations

    phrases related to awareness and importance

    oai_token-act-pair · gpt-3.5-turbo

    statements regarding the concept of "being" or existence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    eor
    -0.76
    wrote
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    uclear
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    inav
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    wit
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    itches
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     wishes
    -0.62
    views
    -0.62
     orbits
    -0.62
    Solar
    -0.61
    POSITIVE LOGITS
     supposed
    0.98
    nt
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     definitely
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     paramount
    0.93
     usually
    0.92
    rael
    0.92
     always
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     ALWAYS
    0.90
     rife
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     often
    0.88
    Activations Density 0.282%

    No Known Activations