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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. 12102
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    INDEX
    Explanations

    mentions of famous personalities, movie titles, or specific events

    oai_token-act-pair · gpt-3.5-turbo

    references to notable individuals and their achievements

    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
    ingers
    -0.76
    externalActionCode
    -0.75
     empath
    -0.72
    âĸĪâĸĪâĸĪâĸĪâĸĪâĸĪâĸĪâĸĪ
    -0.72
    NetMessage
    -0.71
    inker
    -0.70
    BUG
    -0.68
    ply
    -0.68
    weed
    -0.68
    20439
    -0.68
    POSITIVE LOGITS
     Sa
    2.03
    Sa
    1.93
     Ta
    1.72
     ta
    1.68
     Cha
    1.64
     Ma
    1.64
     Ba
    1.62
     Ka
    1.62
     Ha
    1.61
    Ma
    1.60
    Activations Density 0.274%

    No Known Activations