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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. 3171
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    INDEX
    Explanations

    dates or times mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    date references, specifically "Sep" followed by numerical values indicating days

    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
     blows
    -0.71
     millions
    -0.64
     careless
    -0.61
     unprepared
    -0.61
     bearer
    -0.60
     unauthorized
    -0.59
     unf
    -0.59
     teeth
    -0.58
     liking
    -0.57
     Mother
    -0.55
    POSITIVE LOGITS
    arate
    1.68
    aration
    1.58
    arat
    1.47
    sis
    1.22
    arations
    1.20
    ar
    1.04
    hard
    1.01
    ul
    0.99
    hi
    0.98
    mented
    0.97
    Activations Density 0.030%

    No Known Activations