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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. 11-RES-JB
    6. 3225
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    INDEX
    Explanations

    time durations expressed in hours, minutes, and seconds

    oai_token-act-pair · gpt-3.5-turbo

    numerical values related to time, scores, distances, and quantities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ependent
    -0.62
    izoph
    -0.61
     refuse
    -0.61
    ependence
    -0.59
    ificant
    -0.57
    %"
    -0.55
    liction
    -0.54
    lar
    -0.54
    farious
    -0.53
     tray
    -0.53
    POSITIVE LOGITS
     (~
    0.84
     unbeaten
    0.73
     total
    0.73
     (+
    0.73
     overall
    0.70
     (-
    0.67
     consecut
    0.66
     Fahrenheit
    0.65
     AVG
    0.65
    MSN
    0.65
    Activations Density 0.194%

    No Known Activations