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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 7305
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    Explanations

    words expressing negative emotions or outcomes

    oai_token-act-pair · gpt-3.5-turbo

    expressions of regret or misfortune

    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
    arnaev
    -0.78
    addons
    -0.69
    rouse
    -0.67
    ĸļ
    -0.67
    rounder
    -0.67
    aver
    -0.66
    aeda
    -0.64
    kefeller
    -0.64
    afort
    -0.64
    arij
    -0.64
    POSITIVE LOGITS
    ,
    0.91
     enough
    0.90
    ,...
    0.80
     for
    0.74
     though
    0.74
     neither
    0.73
     however
    0.70
     alas
    0.69
     there
    0.68
     none
    0.67
    Activations Density 0.058%

    No Known Activations