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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. 7-RES-JB
    11. 391
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    references to the Ba'ath Party

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     mathemat
    -0.74
     proble
    -0.70
     Wilmington
    -0.70
     psychiat
    -0.69
     lawy
    -0.68
     levers
    -0.68
     disadvant
    -0.67
     carbohyd
    -0.67
     therap
    -0.66
     pharmacies
    -0.65
    POSITIVE LOGITS
    ï¸ı
    1.06
    rh
    0.85
    esc
    0.85
    ATA
    0.82
    ution
    0.81
    kay
    0.80
    ular
    0.79
    ember
    0.77
    non
    0.77
    culus
    0.77
    Activations Density 0.156%

    No Known Activations