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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 12-RES-JB
    6. 2517
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    INDEX
    Explanations

    sports-related content, specifically baseball-related information

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    proper nouns and significant events related to sports and politics

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    Ě
    -1.23
    ü
    -1.22
    StreamerBot
    -1.22
    ė
    -1.22
    Ĝ
    -1.22
    ď
    -1.22
    	
    -1.22
    ġ
    -1.22
     RandomRedditor
    -1.21
    ğ
    -1.21
    POSITIVE LOGITS
     during
    1.33
     because
    1.29
     when
    1.20
     whenever
    1.17
     until
    1.15
     shortly
    1.13
     while
    1.13
     since
    1.11
     throughout
    1.11
     despite
    1.11
    Activations Density 1.414%

    No Known Activations