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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. 23582
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    INDEX
    Explanations

    numerical values in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the number "1" in various contexts

    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
    awaru
    -0.73
     hygiene
    -0.68
     propri
    -0.62
    alus
    -0.62
    azel
    -0.59
     mascul
    -0.57
    ategory
    -0.57
    orative
    -0.57
    hift
    -0.57
    aimon
    -0.56
    POSITIVE LOGITS
    st
    1.63
    125
    1.15
    120
    1.10
    Password
    1.05
    000000
    1.03
    128
    1.02
    0000000
    0.94
    123
    0.85
    ST
    0.84
     sqor
    0.83
    Activations Density 0.098%

    No Known Activations