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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. 19825
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    INDEX
    Explanations

    mentions of the size or scale of objects or events

    oai_token-act-pair · gpt-3.5-turbo

    significant career changes and turning points in a narrative

    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
    emort
    -0.77
     Hes
    -0.70
    thereum
    -0.69
    arov
    -0.69
    neum
    -0.68
    rue
    -0.65
     Flore
    -0.63
    swick
    -0.62
    aunder
    -0.61
    arians
    -0.61
    POSITIVE LOGITS
    Big
    1.93
    big
    1.90
     big
    1.88
     Small
    1.86
     smaller
    1.86
    small
    1.86
     Big
    1.85
    Small
    1.84
     BIG
    1.84
     small
    1.81
    Activations Density 0.357%

    No Known Activations