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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. 9-RES-JB
    6. 21199
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    INDEX
    Explanations

    phrases related to sports statistics and eligibility requirements

    oai_token-act-pair · gpt-3.5-turbo

    criteria related to age and participation in activities or conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     theorists
    -0.61
     metaphors
    -0.59
     reluct
    -0.55
     woes
    -0.54
    Dub
    -0.54
     enthusi
    -0.54
     millenn
    -0.53
     furiously
    -0.53
     brilliantly
    -0.53
     giants
    -0.52
    POSITIVE LOGITS
     specified
    0.99
     or
    0.92
     âī¥
    0.88
     eligible
    0.87
     lawfully
    0.78
    /(
    0.77
     \'
    0.75
     OR
    0.75
    specified
    0.75
     qualifying
    0.74
    Activations Density 1.139%

    No Known Activations