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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. 2-RES-JB
    11. 4286
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    Explanations

    dates and events expressed in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    parentheses and their occurrences in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     footing
    -0.82
    leep
    -0.77
     lull
    -0.75
     fres
    -0.74
     retard
    -0.72
     nitrogen
    -0.72
     recip
    -0.72
     inund
    -0.70
     seasonal
    -0.70
     contend
    -0.69
    POSITIVE LOGITS
    ...)
    1.07
    aka
    1.03
    sic
    1.01
    via
    1.01
    ?)
    0.96
    formerly
    0.96
    emphasis
    0.96
    also
    0.94
    ANI
    0.93
    âĢ¦)
    0.92
    Activations Density 0.220%

    No Known Activations