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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. 7-RES-JB
    6. 20332
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    INDEX
    Explanations

    names and locations related to a specific theme or topic

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals or entities associated with specific actions or contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aic
    -0.93
    hall
    -0.76
    journal
    -0.68
    auts
    -0.66
     dwar
    -0.64
     largeDownload
    -0.63
    y
    -0.63
     gravity
    -0.63
    rawdownloadcloneembedreportprint
    -0.63
    pool
    -0.61
    POSITIVE LOGITS
    ologists
    0.92
    ocene
    0.92
    ocre
    0.91
    ilitating
    0.89
    ologies
    0.87
    pling
    0.85
    osc
    0.84
    ogene
    0.83
    itement
    0.83
    acca
    0.83
    Activations Density 0.093%

    No Known Activations