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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. 10-RES-JB
    11. 963
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    Explanations

    incidents of a person being arrested and charged with a crime

    oai_token-act-pair · gpt-3.5-turbo

    words related to criminal activities and arrests

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yip
    -0.84
    paren
    -0.81
    Prev
    -0.73
     Explicit
    -0.72
    maxwell
    -0.69
    ================================================================
    -0.69
    mop
    -0.69
    dayName
    -0.69
    igmatic
    -0.68
    odes
    -0.67
    POSITIVE LOGITS
     interrogated
    1.48
     transported
    1.42
     sentenced
    1.40
     fined
    1.33
     jailed
    1.33
     deported
    1.32
     detained
    1.32
     arrested
    1.31
     hauled
    1.30
     placed
    1.26
    Activations Density 0.109%

    No Known Activations