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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. 9-RES-JB
    11. 7086
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    INDEX
    Explanations

    correlations and patterns in data analysis

    oai_token-act-pair · gpt-3.5-turbo

    trends and patterns in research findings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    illion
    -0.72
     compares
    -0.70
    ertodd
    -0.70
    abilia
    -0.68
     Became
    -0.66
     sucks
    -0.66
    tu
    -0.66
    Zip
    -0.63
     interacts
    -0.63
     entails
    -0.63
    POSITIVE LOGITS
     longstanding
    1.12
     trend
    1.09
     earlier
    1.06
     previous
    1.02
     tradition
    0.91
     recommendation
    0.89
     precedent
    0.88
     previously
    0.87
     notion
    0.84
     longtime
    0.81
    Activations Density 0.432%

    No Known Activations