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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. 8-RES-JB
    11. 18711
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    Explanations

    words related to change or transformation

    oai_token-act-pair · gpt-3.5-turbo

    references to turning points or pivotal moments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    accompan
    -0.88
    cffff
    -0.63
    enegger
    -0.62
     ubiqu
    -0.58
    rising
    -0.57
     ceilings
    -0.57
    pelling
    -0.57
    cham
    -0.56
    ccoli
    -0.56
     newsletters
    -0.55
    POSITIVE LOGITS
     tide
    0.99
     knob
    0.81
    Ī
    0.79
     Into
    0.77
    Ń·
    0.76
     tides
    0.76
     INTO
    0.75
    ¦
    0.72
    ¿
    0.71
     fortunes
    0.71
    Activations Density 0.096%

    No Known Activations