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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. 6-RES-JB
    11. 7296
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    Explanations

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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 @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    terday
    -0.73
     VIDEOS
    -0.69
     Investigations
    -0.61
     Sum
    -0.60
     divergence
    -0.59
     resear
    -0.59
     Bridges
    -0.58
     landlord
    -0.58
     Redmond
    -0.58
     dialect
    -0.57
    POSITIVE LOGITS
    elight
    1.02
     throne
    0.89
     spotlight
    0.87
    stakes
    0.80
     coveted
    0.80
    highest
    0.79
     podium
    0.77
     heap
    0.77
    rium
    0.76
     advantage
    0.76
    Activations Density 0.576%

    No Known Activations