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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. 10-RES-JB
    6. 14429
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    INDEX
    Explanations

    nouns or noun phrases related to winning, accomplishments, or awards

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to winning awards or titles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gypt
    -0.71
     dstg
    -0.68
    rians
    -0.68
     coales
    -0.68
    Ħ¢
    -0.66
    opers
    -0.63
    anwhile
    -0.63
    zik
    -0.62
     continuum
    -0.61
     arriving
    -0.61
    POSITIVE LOGITS
     acclaim
    1.19
     accol
    1.15
     awards
    1.11
    't
    1.09
     medals
    1.00
     praise
    0.96
     Pulitzer
    0.92
     nomination
    0.92
     recognition
    0.91
     renown
    0.91
    Activations Density 0.075%

    No Known Activations