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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. 7-RES-JB
    11. 13876
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    essa
    -0.71
     Cum
    -0.67
    ettings
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    anwhile
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     Rapp
    -0.63
     Bigfoot
    -0.63
    eln
    -0.61
    ãĥ¼ãĥĨ
    -0.60
    ifications
    -0.60
    ovie
    -0.60
    POSITIVE LOGITS
    ²
    1.55
    ¹
    1.54
    Ń
    1.53
    ¦
    1.52
    ®
    1.51
    °
    1.46
    ¸
    1.46
    ¤
    1.45
    ¶
    1.40
    ¥
    1.40
    Activations Density 0.007%

    No Known Activations