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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 19590
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    Explanations

    phrases related to legal and criminal activities, including actions, allegations, and accusations

    oai_token-act-pair · gpt-3.5-turbo

    references to legal actions and allegations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ç¥ŀ
    -0.87
    }}}
    -0.83
    enment
    -0.79
    ankind
    -0.76
    iasm
    -0.75
    Americ
    -0.71
    !.
    -0.68
    Universal
    -0.67
     Debate
    -0.67
    universal
    -0.66
    POSITIVE LOGITS
     unlawfully
    0.82
     inappropriately
    0.80
     improper
    0.79
     unlawful
    0.79
     inappropriate
    0.79
     detectives
    0.78
     Defendant
    0.74
     orally
    0.74
     burglary
    0.73
     incrim
    0.73
    Activations Density 0.571%

    No Known Activations