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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. 11714
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    INDEX
    Explanations

    dates written in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    numerical dates and significant time markers

    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
    ------------------------
    -0.95
     Huss
    -0.83
     horm
    -0.81
     Greenberg
    -0.79
    Magn
    -0.78
     Hasan
    -0.77
     Herm
    -0.76
     Hag
    -0.76
    hap
    -0.75
     Sherman
    -0.73
    POSITIVE LOGITS
    2016
    1.42
     2016
    1.31
    16
    1.11
     16
    0.95
    166
    0.89
     1916
    0.88
    aton
    0.82
    016
    0.80
     166
    0.80
    大
    0.78
    Activations Density 0.279%

    No Known Activations