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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. 9-RES-JB
    11. 22760
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    INDEX
    Explanations

    mentions or references to people advocating for various causes or interests

    oai_token-act-pair · gpt-3.5-turbo

    terms related to advocacy and supporting various causes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    plet
    -0.69
     Carbuncle
    -0.67
     Luthor
    -0.66
    kered
    -0.66
    hook
    -0.63
    ãĥĥãĥī
    -0.62
     Pradesh
    -0.62
    Redditor
    -0.60
     hairs
    -0.60
     Solitaire
    -0.59
    POSITIVE LOGITS
     advocating
    0.80
    acy
    0.77
     tirelessly
    0.75
     against
    0.75
     passionately
    0.74
    ative
    0.73
    orney
    0.72
    atively
    0.70
    rious
    0.69
    progress
    0.67
    Activations Density 0.075%

    No Known Activations