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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. 18074
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    INDEX
    Explanations

    patterns within text data

    oai_token-act-pair · gpt-3.5-turbo

    references to patterns or distinctive designs

    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
    ofi
    -0.77
    redits
    -0.72
    wered
    -0.68
    tics
    -0.68
    notes
    -0.68
    ittees
    -0.66
    onso
    -0.63
     Byr
    -0.63
    porate
    -0.62
    redit
    -0.61
    POSITIVE LOGITS
     pattern
    3.67
     patterns
    2.94
    pattern
    2.85
     Pattern
    2.76
    Pattern
    2.52
     Patterns
    2.34
     trend
    1.40
     motif
    1.40
     sequence
    1.10
     arrangement
    1.09
    Activations Density 0.024%

    No Known Activations