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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. 10-RES-JB
    11. 7292
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    Explanations

    parenthetical statements providing additional information or context

    oai_token-act-pair · gpt-3.5-turbo

    the presence of parentheses in the text

    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
     inund
    -0.83
     undet
    -0.82
     stocking
    -0.81
     spir
    -0.80
     glac
    -0.79
     stagn
    -0.79
     intensive
    -0.77
     guarding
    -0.77
     canv
    -0.76
     tackling
    -0.76
    POSITIVE LOGITS
    See
    1.48
    Note
    1.43
    âĢ¦)
    1.40
    Though
    1.39
    Unless
    1.36
    Ironically
    1.35
    Actually
    1.34
    Spoiler
    1.32
    Remember
    1.31
    Especially
    1.31
    Activations Density 0.051%

    No Known Activations