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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. 16674
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    Explanations

    names of individuals and organizations

    oai_token-act-pair · gpt-3.5-turbo

    the word "and" indicating connections or continuations in the text

    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
    ãĤ¼ãĤ¦ãĤ¹
    -0.65
    asters
    -0.61
    ipl
    -0.59
    plex
    -0.59
    utenberg
    -0.59
    sed
    -0.57
    figure
    -0.56
    ãĥ¼ãĥ
    -0.56
    ded
    -0.55
    veland
    -0.55
    POSITIVE LOGITS
     nor
    1.49
     therefore
    1.47
     consequently
    1.44
     neither
    1.40
     furthermore
    1.35
     hence
    1.33
     thus
    1.30
     instead
    1.29
     Nor
    1.27
     certainly
    1.27
    Activations Density 0.193%

    No Known Activations