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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. 6276
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    INDEX
    Explanations

    instances where routines or standard procedures occur

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "routine."

    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
    ugs
    -0.70
    arag
    -0.70
    ippi
    -0.69
    onz
    -0.69
    iva
    -0.68
     Straw
    -0.68
    avin
    -0.68
    wit
    -0.67
    atorial
    -0.67
    oras
    -0.67
    POSITIVE LOGITS
     routine
    1.15
     routines
    1.03
     maintenance
    0.93
     regimen
    0.75
    outine
    0.75
    dayName
    0.75
    motion
    0.74
    zed
    0.74
    ised
    0.72
    cy
    0.71
    Activations Density 0.010%

    No Known Activations