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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. 5-RES-JB
    6. 11723
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    Explanations

    descriptions of different approaches or methods

    oai_token-act-pair · gpt-3.5-turbo

    mentions of different approaches or methodologies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    watching
    -0.74
    cakes
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    gin
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    arus
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    cake
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    rake
    -0.69
    ãĥ©ãĥ³
    -0.68
     Wak
    -0.68
    ongo
    -0.68
    ensen
    -0.67
    POSITIVE LOGITS
     approach
    0.94
     Approach
    0.88
    ahime
    0.78
    idon
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     approaches
    0.71
    rait
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    lectic
    0.70
    olitan
    0.70
    perty
    0.70
    oteric
    0.70
    Activations Density 0.029%

    No Known Activations