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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. 675
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    INDEX
    Explanations

    references to numerical values or figures

    oai_token-act-pair · gpt-3.5-turbo

    references to numerical data or statistics

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ModLoader
    -0.86
     Conditions
    -0.72
    Interstitial
    -0.72
    INTON
    -0.72
    ¯¯
    -0.69
     Shroud
    -0.69
    nee
    -0.67
    sole
    -0.67
    structed
    -0.66
    OPLE
    -0.64
    POSITIVE LOGITS
     numbers
    0.88
     Numbers
    0.82
    pace
    0.82
    metry
    0.82
    paces
    0.80
    peak
    0.74
    hare
    0.74
    ynthesis
    0.72
     averages
    0.72
     digits
    0.72
    Activations Density 0.026%

    No Known Activations