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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. 10-RES-JB
    11. 10212
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    Explanations

    proper nouns and names of entities or individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of people, places, and organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    onen
    -0.70
     clearer
    -0.70
    NetMessage
    -0.66
     damp
    -0.63
     unanswered
    -0.63
     seism
    -0.63
    olulu
    -0.61
     probing
    -0.60
    «ĺ
    -0.60
     alarmed
    -0.60
    POSITIVE LOGITS
     Enterprises
    1.06
     Accessories
    1.03
     Facts
    1.02
     Travels
    0.97
    Nation
    0.94
     Forever
    0.93
     Mansion
    0.92
     Gifts
    0.91
     Presents
    0.91
     Industries
    0.90
    Activations Density 0.302%

    No Known Activations