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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. 4-RES-JB
    11. 13538
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    Explanations

    keywords related to permission or authorization

    oai_token-act-pair · gpt-3.5-turbo

    action-oriented verbs and processes related to analysis and assessment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    emale
    -0.90
    aturdays
    -0.71
     destro
    -0.69
    aeda
    -0.68
     Seym
    -0.67
     disadvant
    -0.66
    FFFF
    -0.64
    iterranean
    -0.62
    wagen
    -0.60
     behavi
    -0.60
    POSITIVE LOGITS
     âĢº
    0.70
    ables
    0.60
     largeDownload
    0.58
    bol
    0.58
     Hemp
    0.57
    Skip
    0.55
    weed
    0.55
    bots
    0.53
    wolves
    0.53
    icks
    0.53
    Activations Density 0.186%

    No Known Activations