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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. 10-RES-JB
    11. 5218
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    reci
    -0.81
     Newport
    -0.79
     reunion
    -0.75
     Quart
    -0.75
     Dwight
    -0.74
     Dwell
    -0.72
    Construction
    -0.72
    ufact
    -0.71
     Hercules
    -0.71
     Revival
    -0.70
    POSITIVE LOGITS
     spam
    1.58
     anonym
    1.49
     bots
    1.45
     advertisers
    1.41
     ads
    1.41
     filtering
    1.37
     censorship
    1.33
     advertising
    1.30
     trolls
    1.28
     Gmail
    1.25
    Activations Density 0.996%

    No Known Activations