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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. 0-RES-JB
    11. 16916
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    Explanations

    exclamatory statements in text

    oai_token-act-pair · gpt-3.5-turbo

    exclamatory punctuation marks indicating strong emotions or emphasis

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     sympathetic
    -0.70
     broad
    -0.63
     broader
    -0.62
     narrative
    -0.61
     breadth
    -0.61
     London
    -0.59
     Berlin
    -0.58
     Scotland
    -0.58
     traditionally
    -0.58
     similarly
    -0.58
    POSITIVE LOGITS
    !!!
    3.15
    !!!!
    3.11
    !!!!!
    3.02
    !!!!!!!!
    2.77
    !!
    2.74
    ???
    2.57
    !!"
    2.35
     !!
    2.32
    ??
    2.30
    ????
    2.16
    Activations Density 0.022%

    No Known Activations