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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. 8-RES-JB
    11. 10858
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    INDEX
    Explanations

    adjectives describing strong positive qualities or performance

    oai_token-act-pair · gpt-3.5-turbo

    adjectives that convey positive performance or quality

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atel
    -0.80
     ®
    -0.79
     Canaver
    -0.78
    chu
    -0.73
    source
    -0.72
    fur
    -0.71
    Tube
    -0.69
    lene
    -0.69
    thur
    -0.68
    dot
    -0.68
    POSITIVE LOGITS
     defensive
    1.11
     lineback
    1.10
     goalt
    1.10
     athleticism
    1.06
     performances
    1.06
     positional
    1.05
     teammate
    1.04
     fullback
    1.04
     postseason
    1.03
     scorer
    1.03
    Activations Density 0.192%

    No Known Activations