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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. 4-RES-JB
    11. 17075
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    Explanations

    references to legal proceedings and law enforcement

    oai_token-act-pair · gpt-3.5-turbo

    mentions of prosecutors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yip
    -0.76
    oken
    -0.73
    forward
    -0.72
    lihood
    -0.71
    omach
    -0.70
    birth
    -0.69
    patch
    -0.68
    wo
    -0.66
    eem
    -0.66
    opic
    -0.64
    POSITIVE LOGITS
     prosecutor
    0.92
     prosecutors
    0.90
     indicted
    0.88
     investigator
    0.88
    heet
    0.86
     investigating
    0.81
     allege
    0.79
     prosecuted
    0.79
     subpoen
    0.78
     oun
    0.78
    Activations Density 0.016%

    No Known Activations