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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. 6158
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    Explanations

    numbers and technical details, potentially related to transactions or specifications

    oai_token-act-pair · gpt-3.5-turbo

    numerical values, specifically those related to measurements or identifiers

    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
    alde
    -0.97
    atis
    -0.86
    atism
    -0.82
    icans
    -0.78
    omon
    -0.77
    ushi
    -0.74
    giving
    -0.73
    anamo
    -0.72
    ebin
    -0.72
    oken
    -0.72
    POSITIVE LOGITS
    lihood
    0.83
    issance
    0.73
    à¼
    0.64
    weed
    0.63
    weight
    0.63
    æ©Ł
    0.62
     needles
    0.60
     plum
    0.59
    escription
    0.59
    yne
    0.59
    Activations Density 0.037%

    No Known Activations