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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. 5-RES-JB
    6. 15581
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    INDEX
    Explanations

    proper nouns, specifically names and locations

    oai_token-act-pair · gpt-3.5-turbo

    specific names and references related to individuals or organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     saline
    -0.74
     NXT
    -0.72
     Juven
    -0.67
    hips
    -0.66
     Escape
    -0.64
     Newfoundland
    -0.63
     eSports
    -0.63
     Vikings
    -0.63
     Wolves
    -0.63
     cheek
    -0.62
    POSITIVE LOGITS
    unta
    1.01
     Aj
    0.99
    adesh
    0.99
    ihara
    0.97
    ibl
    0.96
    afia
    0.96
    ulia
    0.95
    urai
    0.93
    ihad
    0.93
    iral
    0.91
    Activations Density 0.018%

    No Known Activations