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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. 2872
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    Explanations

    Japanese proper names

    oai_token-act-pair · gpt-3.5-turbo

    specific names or titles related to Japanese culture, particularly in entertainment

    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
     Palest
    -0.78
     Trinidad
    -0.73
     Bradford
    -0.72
     Alger
    -0.72
    umenthal
    -0.71
     Lyons
    -0.71
     Bland
    -0.70
     Soros
    -0.70
     Dirt
    -0.68
     Bohem
    -0.67
    POSITIVE LOGITS
    ushi
    1.42
    uchi
    1.37
    ichi
    1.35
    ashi
    1.32
    uki
    1.31
    oshi
    1.31
    oki
    1.31
    etsu
    1.30
    ihara
    1.28
    ugi
    1.28
    Activations Density 0.139%

    No Known Activations