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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. 6-RES-JB
    11. 5082
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    Explanations

    mentions of law enforcement and related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to law enforcement and legal terminology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    auga
    -0.91
    iliary
    -0.87
    ngth
    -0.78
    yip
    -0.77
    voy
    -0.71
    hetically
    -0.70
    hiba
    -0.69
    rik
    -0.69
    cair
    -0.69
    riks
    -0.68
    POSITIVE LOGITS
    enforcement
    0.91
    abiding
    0.78
     jurisdiction
    0.76
     precedent
    0.74
    riage
    0.74
     ACTIONS
    0.71
    ASED
    0.70
     Queensland
    0.68
     looph
    0.68
     apartheid
    0.67
    Activations Density 0.233%

    No Known Activations