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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. 6-RES-JB
    6. 1503
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    INDEX
    Explanations

    mentions of the word "Fly" with varying intensities

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the term "fly" or related concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    illian
    -0.88
    ointed
    -0.75
     Cumber
    -0.73
    aido
    -0.72
    ilitary
    -0.71
    ortium
    -0.71
    utory
    -0.71
    ribune
    -0.70
    ãĥ¤
    -0.70
    itutional
    -0.69
    POSITIVE LOGITS
    wheel
    1.08
    weights
    0.98
    leaf
    0.97
    back
    0.97
    trap
    0.94
    knit
    0.93
    cat
    0.91
    weight
    0.88
    whe
    0.86
    wings
    0.85
    Activations Density 0.018%

    No Known Activations