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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. 24060
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    Explanations

    text related to software or technology features

    oai_token-act-pair · gpt-3.5-turbo

    mentions of new or underlying features in technology-related contexts

    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
    alg
    -0.78
    oner
    -0.75
    cffffcc
    -0.74
    sis
    -0.73
    externalActionCode
    -0.73
    Ń·
    -0.71
    uin
    -0.67
    abama
    -0.66
    kos
    -0.66
    thur
    -0.66
    POSITIVE LOGITS
    ivity
    0.89
    iveness
    0.85
     features
    0.82
    Feature
    0.78
    hered
    0.77
    afety
    0.76
    Features
    0.76
     enhancements
    0.75
     Features
    0.71
    ioned
    0.71
    Activations Density 0.035%

    No Known Activations