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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
    11. 2692
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    Explanations

    proper nouns related to people or places

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of individuals or entities

    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
    Not in Any Lists

    No Comments

    Negative Logits
     radiation
    -0.69
    LEASE
    -0.66
     Bermuda
    -0.64
     Scientology
    -0.63
     Hurricanes
    -0.63
     GDDR
    -0.63
     misinformation
    -0.62
     chemotherapy
    -0.61
    20439
    -0.61
     Commonwealth
    -0.60
    POSITIVE LOGITS
    amoto
    1.24
    urai
    1.21
    ule
    1.13
    imura
    1.08
    ata
    1.04
    oda
    1.03
    arin
    1.01
    rament
    1.01
     Sak
    1.00
    iri
    0.99
    Activations Density 0.007%

    No Known Activations