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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. 4-RES-JB
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    information related to public statements made during press conferences

    oai_token-act-pair · gpt-3.5-turbo

    references to press conferences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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     antip
    -0.64
    hn
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    osph
    -0.60
    hy
    -0.60
    POSITIVE LOGITS
     announcing
    1.03
     announcements
    0.78
     convened
    0.78
    aires
    0.77
     presentations
    0.77
     transcripts
    0.76
     conference
    0.76
     announces
    0.73
    INESS
    0.72
     Minutes
    0.70
    Activations Density 0.020%

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