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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. 11-RES-JB
    11. 5857
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    INDEX
    Explanations

    mentions of usage or consumption statistics

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with usage and participation metrics in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hift
    -0.78
    sonian
    -0.73
    vet
    -0.70
    ofi
    -0.69
     Spiel
    -0.63
    isel
    -0.63
     suitcase
    -0.63
    utsche
    -0.63
    printed
    -0.61
    iman
    -0.60
    POSITIVE LOGITS
     rates
    1.74
     Rates
    1.51
     patterns
    1.48
     rate
    1.46
    rates
    1.41
     percentages
    1.35
     levels
    1.30
     trends
    1.29
     habits
    1.28
    rate
    1.24
    Activations Density 0.210%

    No Known Activations