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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. 10-RES-JB
    11. 6966
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to health organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     maj
    -0.71
    coni
    -0.70
     sadd
    -0.69
     converter
    -0.67
    */(
    -0.65
    ounter
    -0.64
     Gleaming
    -0.63
    ¯
    -0.61
    umo
    -0.61
     Reloaded
    -0.59
    POSITIVE LOGITS
     Care
    1.07
    care
    1.01
    osate
    0.97
    Care
    0.95
     care
    0.89
     Sciences
    0.88
    illance
    0.85
    iest
    0.82
    intend
    0.81
     Insurance
    0.81
    Activations Density 0.041%

    No Known Activations