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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. 7452
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    Explanations

    dates, months, and numbers

    oai_token-act-pair · gpt-3.5-turbo

    dates and numerical sequences

    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
    amus
    -0.76
    achi
    -0.71
     XIV
    -0.70
    987
    -0.68
     Oswald
    -0.67
    ettings
    -0.66
    olean
    -0.64
     Jem
    -0.62
    ouver
    -0.61
    \\\\\\\\
    -0.59
    POSITIVE LOGITS
    25
    0.85
    23
    0.85
    22
    0.85
    24
    0.85
    28
    0.77
    21
    0.74
     2024
    0.72
    30
    0.71
    29
    0.71
    222
    0.70
    Activations Density 0.096%

    No Known Activations