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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. 23257
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    features related to note-taking and organization tools

    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
    SPONSORED
    -0.89
     derog
    -0.84
     antagonists
    -0.82
     unsuccessfully
    -0.81
     abortions
    -0.78
     pse
    -0.76
     juveniles
    -0.76
     disclaimer
    -0.74
     presumably
    -0.73
     externalToEVAOnly
    -0.70
    POSITIVE LOGITS
     fingertips
    0.98
     effortlessly
    0.96
     personalized
    0.94
     unforgettable
    0.89
     yours
    0.85
     YOUR
    0.83
    Your
    0.80
     hassle
    0.79
     your
    0.78
    ®,
    0.78
    Activations Density 0.517%

    No Known Activations