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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. 6306
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    Explanations

    mentions of a negative event related to law enforcement or politics

    oai_token-act-pair · gpt-3.5-turbo

    the negation of statements or terms that indicate disagreement

    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
     tremend
    -0.84
     behavi
    -0.78
     rake
    -0.76
     hemor
    -0.75
     Reloaded
    -0.70
     indo
    -0.70
     lapt
    -0.69
     Palestin
    -0.68
     exha
    -0.68
     Practices
    -0.67
    POSITIVE LOGITS
    ween
    1.11
    weet
    1.02
    itles
    1.02
    otally
    1.01
    ople
    0.98
    apest
    0.98
    urtle
    0.97
    ruly
    0.95
    iful
    0.94
    ouched
    0.93
    Activations Density 0.056%

    No Known Activations