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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. 23416
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    INDEX
    Explanations

    numerical values within a specific range

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and statistics

    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
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    Negative Logits
    ument
    -0.76
    luence
    -0.70
    alach
    -0.67
    cill
    -0.67
    acre
    -0.67
    MpServer
    -0.66
    intend
    -0.64
    ropri
    -0.63
    enium
    -0.62
    oc
    -0.61
    POSITIVE LOGITS
     Pharaoh
    0.72
     Lumpur
    0.63
     darts
    0.62
     Languages
    0.61
     Jakarta
    0.60
     stairs
    0.60
    aq
    0.59
    terms
    0.57
     shoots
    0.57
     Kuala
    0.57
    Activations Density 0.062%

    No Known Activations