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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. 23445
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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 @ 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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    Negative Logits
     Guth
    -0.67
     waking
    -0.62
     Pok
    -0.60
     prick
    -0.59
     churn
    -0.59
     Dru
    -0.58
     Divinity
    -0.57
     Buddh
    -0.57
     chuck
    -0.57
     mull
    -0.57
    POSITIVE LOGITS
     Plus
    0.86
    plus
    0.86
    ILA
    0.85
    pez
    0.84
     II
    0.81
     PLUS
    0.79
    II
    0.78
    ille
    0.75
    III
    0.75
     plus
    0.75
    Activations Density 0.367%

    No Known Activations