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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. 22465
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    Explanations

    information related to statistics and numbers

    oai_token-act-pair · gpt-3.5-turbo

    numerical data related to injuries and sports statistics

    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
    pmwiki
    -0.71
    naissance
    -0.64
    osc
    -0.63
    itism
    -0.61
    animate
    -0.60
    lux
    -0.60
     mah
    -0.59
    itized
    -0.58
     dearly
    -0.57
    gone
    -0.57
    POSITIVE LOGITS
     respectively
    1.46
    depending
    0.80
    arnaev
    0.79
     attRot
    0.71
     Mehran
    0.69
     Marino
    0.68
     depending
    0.66
     apiece
    0.63
     Darrell
    0.62
     rounded
    0.61
    Activations Density 0.516%

    No Known Activations