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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. 15758
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    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
    amed
    -0.71
    gemony
    -0.65
     horm
    -0.65
    olds
    -0.65
    inline
    -0.64
    rities
    -0.63
    milo
    -0.63
    lor
    -0.63
    urated
    -0.62
    liam
    -0.61
    POSITIVE LOGITS
     navigating
    1.08
     compiling
    0.96
     locating
    0.94
     digestion
    0.92
     chores
    0.90
     rebuilding
    0.89
     decipher
    0.89
     decoding
    0.86
     upkeep
    0.86
     reconstruction
    0.86
    Activations Density 0.323%

    No Known Activations