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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. 19682
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    Explanations

    proper nouns or terms that may be related to politics or government entities

    oai_token-act-pair · gpt-3.5-turbo

    references to financial or economic entities, especially in relation to armed groups

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Titanic
    -0.95
     Wilde
    -0.94
     Wilmington
    -0.89
     Chloe
    -0.81
     Poles
    -0.80
     Newport
    -0.80
     Pike
    -0.77
     CG
    -0.77
     pokemon
    -0.76
     Eugene
    -0.73
    POSITIVE LOGITS
     Imam
    1.68
    Allah
    1.65
    Islam
    1.61
     Ahmad
    1.60
     Ibn
    1.59
     Sheikh
    1.58
     Hasan
    1.57
     Abbas
    1.55
     Hezbollah
    1.55
    Ø
    1.55
    Activations Density 0.958%

    No Known Activations