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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. 6-RES-JB
    11. 24506
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    Explanations

    references to legal settings or actions

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "court."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xit
    -0.82
    wolves
    -0.75
    ï¸ı
    -0.75
    ivot
    -0.73
     plurality
    -0.71
    Bit
    -0.67
    zb
    -0.66
     Flavoring
    -0.66
    stall
    -0.65
    illin
    -0.65
    POSITIVE LOGITS
     papers
    0.97
    rooms
    0.92
     circles
    0.91
     guise
    0.88
     classrooms
    0.85
     hearings
    0.84
     filings
    0.81
     proceedings
    0.79
     lobb
    0.73
     courthouse
    0.73
    Activations Density 0.083%

    No Known Activations