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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. 3-RES-JB
    11. 7227
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    Explanations

    proper names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    uyomi
    -0.80
    nesota
    -0.79
    othal
    -0.75
    acea
    -0.74
    oppable
    -0.73
    20439
    -0.73
    ivals
    -0.72
    ancies
    -0.71
    skirts
    -0.71
    angering
    -0.71
    POSITIVE LOGITS
     Garcia
    0.95
     Marcos
    0.90
     Enrique
    0.90
     Ferdinand
    0.86
     Gomez
    0.85
     Antonio
    0.84
     Fernandez
    0.83
     Martinez
    0.83
     Kart
    0.80
     van
    0.78
    Activations Density 0.008%

    No Known Activations