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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. 19598
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    INDEX
    Explanations

    the pattern "7-inch"

    oai_token-act-pair · gpt-3.5-turbo

    numerical specifications and measurements

    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
    è»
    -0.78
    nih
    -0.75
    Introduced
    -0.68
     guiActiveUn
    -0.67
     association
    -0.67
    ForgeModLoader
    -0.65
    ibrary
    -0.65
     Premiere
    -0.63
    ocument
    -0.57
    hood
    -0.56
    POSITIVE LOGITS
    ĪĴ
    0.81
    enger
    0.75
     ILCS
    0.71
     stalls
    0.65
    ĵĺ
    0.64
    nown
    0.64
    ibu
    0.63
     heels
    0.63
     Lumpur
    0.63
    Ele
    0.62
    Activations Density 0.137%

    No Known Activations