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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. 0-RES-JB
    11. 23256
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    Explanations

    references to criminal activities or law enforcement

    oai_token-act-pair · gpt-3.5-turbo

    references to crime-related terminology and organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    essen
    -0.70
     placeholder
    -0.70
     sails
    -0.69
     sustain
    -0.68
    ersen
    -0.66
     carrier
    -0.65
     dos
    -0.65
     valve
    -0.64
     embr
    -0.64
     flush
    -0.63
    POSITIVE LOGITS
     Crime
    3.94
    Crime
    2.62
    crime
    2.16
     Crimes
    2.16
     crime
    2.13
     Crim
    1.81
     Criminal
    1.61
     crimes
    1.46
     Detective
    1.43
     Fraud
    1.40
    Activations Density 0.011%

    No Known Activations