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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. 18082
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    Explanations

    verbs used in formal speeches or addresses

    oai_token-act-pair · gpt-3.5-turbo

    references to formal addresses or speeches at significant events

    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
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    No Comments

    Negative Logits
     ILCS
    -0.71
    chrome
    -0.70
    Ö
    -0.66
     crept
    -0.66
     smugg
    -0.65
     creep
    -0.65
    imo
    -0.64
     tread
    -0.62
    ymes
    -0.62
    estine
    -0.61
    POSITIVE LOGITS
     attendees
    1.10
     delegates
    1.10
     applause
    0.98
     listeners
    0.92
     keynote
    0.91
     guests
    0.90
     crowds
    0.87
     commemorate
    0.87
     assembled
    0.87
     audience
    0.86
    Activations Density 0.257%

    No Known Activations