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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
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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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    Negative Logits
    kus
    -0.78
    bus
    -0.72
    opian
    -0.72
    ovie
    -0.69
    sonian
    -0.66
    ilus
    -0.65
    issance
    -0.65
     Hoy
    -0.63
    enegger
    -0.62
    Laun
    -0.61
    POSITIVE LOGITS
     calculation
    1.00
     mismatch
    0.96
     ratings
    0.93
     rating
    0.92
     Calculator
    0.91
     notation
    0.90
     calculator
    0.90
     determination
    0.89
     calculations
    0.87
     requirement
    0.86
    Activations Density 0.622%

    No Known Activations