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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 7133
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    oai_token-act-pair · gpt-3.5-turbo

    numerical dates and time-related information

    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
    acebook
    -0.80
    advertisement
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    owler
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    akespe
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    uca
    -0.63
    interstitial
    -0.60
    odium
    -0.60
    matically
    -0.59
    clips
    -0.59
    oyal
    -0.59
    POSITIVE LOGITS
     08
    0.90
     partName
    0.90
     07
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     09
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     GMT
    0.88
     04
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     06
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     02
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     00
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     03
    0.84
    Activations Density 0.052%

    No Known Activations