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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. 5451
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, particularly closing parentheses

    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
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    No Comments

    Negative Logits
     nodd
    -0.70
    arer
    -0.69
     therap
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    ifying
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    ikuman
    -0.67
     reclaimed
    -0.67
     suspic
    -0.66
    elling
    -0.65
    ding
    -0.64
    eled
    -0.64
    POSITIVE LOGITS
     Additionally
    0.96
     Therefore
    0.95
     Anyway
    0.91
     Furthermore
    0.91
    *)
    0.90
     Alternatively
    0.87
     Also
    0.86
     Moreover
    0.84
     However
    0.84
     Regardless
    0.84
    Activations Density 0.118%

    No Known Activations