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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. 6-RES-JB
    11. 7047
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    Explanations

    numeric values

    oai_token-act-pair · gpt-3.5-turbo

    numerical values and concepts related to counting or measurement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Bhar
    -0.66
    chu
    -0.63
     skelet
    -0.61
     facult
    -0.60
     illum
    -0.60
    vous
    -0.60
    axter
    -0.59
    ovie
    -0.59
    ĪĴ
    -0.58
     Colony
    -0.57
    POSITIVE LOGITS
     estimate
    0.93
    limit
    0.92
    iculty
    0.92
     percentages
    0.91
     ratings
    0.91
     scale
    0.90
     rating
    0.87
     estimates
    0.86
    reshold
    0.86
     elapsed
    0.86
    Activations Density 0.504%

    No Known Activations