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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. 9-RES-JB
    11. 9193
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    Explanations

    words related to international relations and global politics

    oai_token-act-pair · gpt-3.5-turbo

    punctuation, specifically commas in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    FIX
    -0.69
    stract
    -0.67
    lift
    -0.61
    olves
    -0.61
    abolic
    -0.60
    EStreamFrame
    -0.59
    ../
    -0.59
    artifacts
    -0.58
    Tokens
    -0.57
    num
    -0.57
    POSITIVE LOGITS
     meanwhile
    1.99
     however
    1.51
     moreover
    1.23
     unsurprisingly
    1.10
     likewise
    1.09
     meantime
    1.08
     incidentally
    1.02
     though
    0.99
     predictably
    0.93
     therefore
    0.91
    Activations Density 0.246%

    No Known Activations