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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. 24130
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    INDEX
    Explanations

    proper nouns consisting of the letters "Sha"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific names and prominent individuals

    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
    anwhile
    -0.88
    ktop
    -0.87
    etheless
    -0.82
    gran
    -0.81
    olesc
    -0.75
    ications
    -0.72
    ollower
    -0.71
    icted
    -0.71
    ancy
    -0.70
    ĨĴ
    -0.70
    POSITIVE LOGITS
    IELD
    0.86
    roud
    0.78
    ning
    0.73
    rike
    0.71
    pler
    0.71
    ned
    0.70
    IFT
    0.69
    ful
    0.69
    ivas
    0.68
    pling
    0.68
    Activations Density 0.058%

    No Known Activations