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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. 6462
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    INDEX
    Explanations

    phrases with the word "rarely"

    oai_token-act-pair · gpt-3.5-turbo

    words conveying the concept of rarity or infrequency

    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
    loo
    -0.80
    oÄŁ
    -0.80
    andan
    -0.71
     Assessment
    -0.64
    agra
    -0.64
    anmar
    -0.61
    omet
    -0.60
    imming
    -0.60
     Tens
    -0.60
    raints
    -0.59
    POSITIVE LOGITS
    entimes
    1.13
    theless
    1.03
    pmwiki
    0.96
     occurrence
    0.90
     EVER
    0.86
     occurrences
    0.81
     encountered
    0.78
     bother
    0.77
     stray
    0.77
     dime
    0.75
    Activations Density 0.067%

    No Known Activations