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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. 7-RES-JB
    11. 2091
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    Explanations

    recipes and cooking instructions

    oai_token-act-pair · gpt-3.5-turbo

    cooking instructions and processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Samar
    -0.71
     ancestor
    -0.71
     outdated
    -0.69
     emblem
    -0.69
     shif
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     affiliated
    -0.69
     implying
    -0.69
     denying
    -0.66
    terday
    -0.66
     treasury
    -0.66
    POSITIVE LOGITS
     Slowly
    1.04
    Then
    0.94
     Then
    0.93
    Remove
    0.92
    Repeat
    0.91
    Once
    0.89
     Repeat
    0.87
     Instructions
    0.87
    Make
    0.87
    Recipe
    0.87
    Activations Density 0.149%

    No Known Activations