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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. 9-RES-JB
    11. 1681
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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 @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Franch
    -0.93
     Nanto
    -0.83
     snail
    -0.81
     disse
    -0.74
     Isle
    -0.74
     Mayo
    -0.71
     Lerner
    -0.69
     stri
    -0.68
     mainland
    -0.68
     stamp
    -0.67
    POSITIVE LOGITS
    Ŀ
    1.80
    ¡
    1.41
    °
    1.20
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    1.19
    ©
    1.15
    ŀ
    1.14
    £
    1.13
    ª
    1.12
    ł
    1.08
    §
    1.07
    Activations Density 0.229%

    No Known Activations