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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. 1-RES-JB
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    Explanations

    mentions of legal professionals, especially prosecutors

    oai_token-act-pair · gpt-3.5-turbo

    mentions of prosecutors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lihood
    -0.81
    tz
    -0.70
    birth
    -0.68
    opic
    -0.68
    pid
    -0.67
    eem
    -0.66
    chron
    -0.65
     Sleeping
    -0.65
     Silent
    -0.63
    pt
    -0.62
    POSITIVE LOGITS
     prosecutors
    1.09
     prosecutor
    1.02
    avorite
    0.96
     Prosecutors
    0.95
    Prosecutors
    0.94
    heet
    0.91
     confir
    0.91
     GOODMAN
    0.88
     indicted
    0.86
     prosecut
    0.85
    Activations Density 0.008%

    No Known Activations