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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. 22949
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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 @ 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
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    No Comments

    Negative Logits
     citiz
    -0.77
     withdraw
    -0.75
     seiz
    -0.74
     deterrent
    -0.71
    ignty
    -0.70
     culmin
    -0.69
     retali
    -0.67
    EStream
    -0.67
     dissu
    -0.66
     withdrawal
    -0.65
    POSITIVE LOGITS
    Seriously
    0.92
    Ear
    0.78
    WB
    0.78
    Sure
    0.76
    hello
    0.73
    Fans
    0.72
    Specifically
    0.72
    7601
    0.70
    Think
    0.69
    Houston
    0.69
    Activations Density 0.249%

    No Known Activations