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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. 3-RES-JB
    11. 12296
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    Explanations

    words related to illegal activities involving the transportation of goods or people

    oai_token-act-pair · gpt-3.5-turbo

    references to various forms of trafficking

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ¯¯
    -0.73
    thur
    -0.69
    ucle
    -0.68
    Lago
    -0.68
    semble
    -0.66
     Einstein
    -0.65
    thus
    -0.65
    ARY
    -0.64
    Dad
    -0.63
     Metatron
    -0.63
    POSITIVE LOGITS
     trafficking
    1.25
     Traff
    1.00
     traffickers
    0.86
     offenders
    0.84
     traff
    0.82
     victims
    0.81
     Victims
    0.79
     offenses
    0.78
     gangs
    0.78
     orphans
    0.78
    Activations Density 0.013%

    No Known Activations