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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. 14178
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    Explanations

    expressions related to exerting control or influence

    oai_token-act-pair · gpt-3.5-turbo

    words related to the act of exerting influence or pressure

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Koen
    -0.75
     Levant
    -0.71
     Redemption
    -0.70
     Crowley
    -0.66
    externalActionCode
    -0.65
    ADE
    -0.62
    sey
    -0.62
    MAT
    -0.61
     Kos
    -0.61
    aimon
    -0.61
    POSITIVE LOGITS
     exerted
    1.22
     exert
    1.08
     tremend
    1.03
     metic
    0.98
    ments
    0.94
    uates
    0.91
    ienced
    0.87
    ¯
    0.86
     pse
    0.86
    ions
    0.86
    Activations Density 0.012%

    No Known Activations