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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. 13200
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    Explanations

    references to numerical quantities or counts

    oai_token-act-pair · gpt-3.5-turbo

    phrases that quantify numerical data or statistics

    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
    ĸļ
    -0.93
    iquette
    -0.83
    acus
    -0.81
    ury
    -0.77
    opia
    -0.76
    rade
    -0.76
    aste
    -0.74
    ername
    -0.73
    HAEL
    -0.73
    ĺ
    -0.73
    POSITIVE LOGITS
     times
    1.14
     entries
    1.06
     entrants
    1.04
     occurrences
    1.03
     digits
    0.99
     fatalities
    0.99
     consecutive
    0.97
     deaths
    0.97
     iterations
    0.96
     persons
    0.94
    Activations Density 0.063%

    No Known Activations