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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 11-RES-JB
    11. 14772
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    Explanations

    numeric values and measurements

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to numerical data and statistics

    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
    Furthermore
    -0.81
    etheless
    -0.76
    ¨
    -0.75
     ALSO
    -0.74
    \">
    -0.74
    =\"
    -0.73
    \"
    -0.71
    âĸº
    -0.71
    displayText
    -0.70
    Moreover
    -0.69
    POSITIVE LOGITS
     somewhere
    1.01
     or
    0.98
     usually
    0.98
    usually
    0.95
     invariably
    0.95
     occasionally
    0.87
     apiece
    0.87
     typically
    0.86
     preferably
    0.86
    typically
    0.83
    Activations Density 1.071%

    No Known Activations