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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. 5473
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    Explanations

    phrases related to something performing effectively or successfully

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating effectiveness or proficiency

    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
    owners
    -0.74
    ilities
    -0.66
    agine
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    ategory
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    rush
    -0.62
    ility
    -0.60
    arine
    -0.60
    anasia
    -0.59
    access
    -0.59
    iframe
    -0.59
    POSITIVE LOGITS
     enough
    1.32
    enough
    1.16
     Enough
    0.94
    bye
    0.82
    spring
    0.81
    baum
    0.80
     behaved
    0.75
     suited
    0.73
     beyond
    0.73
    night
    0.71
    Activations Density 0.067%

    No Known Activations