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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. 7553
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    Explanations

    words related to criminal activities or incidents

    oai_token-act-pair · gpt-3.5-turbo

    references to various aspects of crime

    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
    Whe
    -0.71
    Boost
    -0.68
    udo
    -0.67
    pta
    -0.65
    âĻ¥
    -0.65
    annels
    -0.64
     McMaster
    -0.63
     Haas
    -0.63
    ersed
    -0.63
    endi
    -0.63
    POSITIVE LOGITS
     crime
    3.86
    crime
    3.13
     Crime
    2.83
     crimes
    2.50
    Crime
    2.24
     criminality
    2.12
     Crimes
    2.01
     criminals
    1.98
     homicide
    1.79
     criminal
    1.70
    Activations Density 0.015%

    No Known Activations