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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. 8457
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    Explanations

    survey findings or research results

    oai_token-act-pair · gpt-3.5-turbo

    survey results or findings from studies

    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
    von
    -0.83
    inventoryQuantity
    -0.81
    arantine
    -0.73
    displayText
    -0.69
    assetsadobe
    -0.69
    awar
    -0.68
    cious
    -0.67
    ascus
    -0.65
    ico
    -0.65
    endars
    -0.64
    POSITIVE LOGITS
     that
    1.11
     widespread
    0.90
    that
    0.87
     significant
    0.83
     similarities
    0.76
     disparities
    0.76
     majorities
    0.74
     negligible
    0.74
     overwhelmingly
    0.73
     81
    0.73
    Activations Density 0.140%

    No Known Activations