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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. 9-RES-JB
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    Explanations

    words related to law enforcement

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "Cop" or "cop," likely in relation to law enforcement or police-related contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    WAYS
    -0.77
    WAY
    -0.70
    Ń·
    -0.67
    çĦ
    -0.65
    ¥µ
    -0.64
    VEL
    -0.64
    ãĤī
    -0.64
    sbm
    -0.63
    åĬ
    -0.63
    Downloadha
    -0.61
    POSITIVE LOGITS
    yrights
    1.50
    rodu
    1.29
    yright
    1.23
    ious
    1.18
    enhagen
    1.10
    eland
    1.09
    ilot
    1.08
    tic
    1.03
    ulation
    0.93
    roph
    0.91
    Activations Density 0.041%

    No Known Activations