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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. 14437
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    Explanations

    numerical measurements related to distances

    oai_token-act-pair · gpt-3.5-turbo

    numerical values related to distances and quantities

    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
     homebrew
    -0.83
     Whitman
    -0.79
     Charlottesville
    -0.69
    abilia
    -0.68
     Anth
    -0.68
    velt
    -0.65
    etch
    -0.65
     Jefferson
    -0.64
    etsy
    -0.63
    SIGN
    -0.63
    POSITIVE LOGITS
     km
    1.32
    km
    1.31
     lakh
    1.30
     kilometers
    1.23
     kilometres
    1.17
     crore
    1.17
     hectares
    1.13
     kilomet
    1.13
     tonnes
    1.12
     kg
    1.05
    Activations Density 0.218%

    No Known Activations