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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. 4-RES-JB
    11. 9424
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    INDEX
    Explanations

    numerical values or quantities

    oai_token-act-pair · gpt-3.5-turbo

    references to average values and statistics related to prices, demographics, and income

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

    No Comments

    Negative Logits
    arters
    -0.78
    redo
    -0.74
    itars
    -0.73
    kies
    -0.72
    Pal
    -0.68
    ounded
    -0.65
    lined
    -0.64
     Baal
    -0.63
    ampions
    -0.63
    andals
    -0.62
    POSITIVE LOGITS
    Downloadha
    0.78
     percentile
    0.77
    maximum
    0.71
    minimum
    0.70
    taboola
    0.70
     deviation
    0.68
    runtime
    0.67
     hourly
    0.66
     gross
    0.66
    tu
    0.65
    Activations Density 0.143%

    No Known Activations