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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. 9-RES-JB
    6. 809
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    INDEX
    Explanations

    phrases about specific topics or entities, such as product names, song lyrics, or personal names

    oai_token-act-pair · gpt-3.5-turbo

    references to culture and societal themes

    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
     paperback
    -0.75
    ¥µ
    -0.72
     Flame
    -0.69
     Boone
    -0.68
     charm
    -0.67
     Deadly
    -0.65
     Marketable
    -0.64
     flash
    -0.64
     Doomsday
    -0.63
     softer
    -0.63
    POSITIVE LOGITS
    âĢ
    1.88
    Â
    1.17
    *
    1.15
     âĢ
    1.14
    âĢł
    1.12
    âī
    1.11
    **
    1.10
    âĪ
    1.09
    ´
    1.08
    âĶ
    1.08
    Activations Density 0.375%

    No Known Activations