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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. 10975
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    programming-related syntax elements, particularly in the context of code or commands

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Axel
    -0.67
    agame
    -0.66
     Canaver
    -0.64
     gearing
    -0.64
     spoiler
    -0.64
     LCS
    -0.62
     optimistic
    -0.61
    iversal
    -0.60
     optimism
    -0.60
     spoilers
    -0.58
    POSITIVE LOGITS
     âĢ¦"
    1.03
    Then
    0.88
    Answer
    0.87
    Likewise
    0.84
    âĢ¦"
    0.84
    Similarly
    0.82
     Similarly
    0.81
    âĢ¦."
    0.79
     Then
    0.79
     ..."
    0.76
    Activations Density 0.811%

    No Known Activations