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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. 21937
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    Explanations

    numerical quantities or comparisons

    oai_token-act-pair · gpt-3.5-turbo

    instances of comma-separated clauses in sentences

    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
    But
    -1.09
     But
    -1.06
    but
    -1.04
    However
    -1.03
     However
    -1.00
    butt
    -0.91
     but
    -0.83
     BUT
    -0.79
    BUT
    -0.76
    ;}
    -0.74
    POSITIVE LOGITS
     namely
    0.80
     nonetheless
    0.79
     owing
    0.72
     preferring
    0.70
     especially
    0.68
     meaning
    0.66
     leaving
    0.66
     warns
    0.66
     judging
    0.66
     suggesting
    0.65
    Activations Density 0.462%

    No Known Activations