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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. 11-RES-JB
    11. 3790
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    Explanations

    strings emphasizing speed or brevity

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate brief and straightforward information or summaries

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ardless
    -0.85
    ISTER
    -0.81
    ById
    -0.78
    eligible
    -0.76
    imar
    -0.75
    akery
    -0.69
    ammed
    -0.66
    alde
    -0.66
    successfully
    -0.66
    isters
    -0.65
    POSITIVE LOGITS
     disclaimer
    1.59
     refres
    1.36
     caveat
    1.35
     reminder
    1.32
     note
    1.30
     caveats
    1.29
     clarification
    1.26
     aside
    1.21
     disclaim
    1.20
     recap
    1.19
    Activations Density 0.201%

    No Known Activations