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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. 3-RES-JB
    11. 20663
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks used as sentence terminators

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    anmar
    -0.76
    abet
    -0.73
    chnology
    -0.67
    xtap
    -0.66
    inent
    -0.65
    idia
    -0.65
    isman
    -0.65
    apons
    -0.64
    utterstock
    -0.64
    itialized
    -0.64
    POSITIVE LOGITS
    Exit
    0.88
     Imran
    0.74
    Anonymous
    0.73
     Continued
    0.71
    Cro
    0.69
    #$
    0.66
    Pause
    0.65
    Honest
    0.65
     Moses
    0.65
     Rabbi
    0.63
    Activations Density 0.216%

    No Known Activations