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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. 8509
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    Explanations

    credit mentions in texts

    oai_token-act-pair · gpt-3.5-turbo

    instances of credit attribution in the text

    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
    rency
    -0.69
     educ
    -0.66
    rient
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    terday
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    zai
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     retard
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     behold
    -0.60
    stress
    -0.60
    nas
    -0.60
     advoc
    -0.59
    POSITIVE LOGITS
     Provided
    0.97
     CARD
    0.74
     Cards
    0.73
     Card
    0.72
    Card
    0.70
     Illust
    0.70
     Sources
    0.69
     Credit
    0.68
     Correspond
    0.67
     Facilities
    0.66
    Activations Density 0.007%

    No Known Activations