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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. 18003
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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
    owship
    -0.65
     Feldman
    -0.63
    ocker
    -0.61
     outl
    -0.60
    ans
    -0.60
    uca
    -0.58
    enance
    -0.57
    ordes
    -0.57
    ux
    -0.57
    isol
    -0.56
    POSITIVE LOGITS
    STEP
    0.97
     generation
    0.96
    door
    0.95
     Steps
    0.95
     generations
    0.87
     Generation
    0.85
     steps
    0.83
    Gen
    0.83
     Generations
    0.82
     installment
    0.79
    Activations Density 0.041%

    No Known Activations