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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. 20375
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    Explanations

    statements related to interactions with law enforcement

    oai_token-act-pair · gpt-3.5-turbo

    mentions of law enforcement and investigative agencies

    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
    ãĤ¢
    -0.70
    spread
    -0.68
    ãĥ¡
    -0.66
    ãĤ«
    -0.65
    peat
    -0.61
    TED
    -0.61
    xit
    -0.61
    pread
    -0.61
    hift
    -0.61
     Bastard
    -0.61
    POSITIVE LOGITS
    ij士
    0.86
     orally
    0.82
    DERR
    0.82
    alion
    0.69
    agine
    0.65
    armac
    0.64
     inappropriately
    0.63
     investigators
    0.63
    herty
    0.63
    racuse
    0.62
    Activations Density 0.073%

    No Known Activations