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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. 14037
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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 @ 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
     Kob
    -0.69
    CHQ
    -0.62
    enegger
    -0.60
    76561
    -0.60
     Amon
    -0.57
     Hamm
    -0.54
    DragonMagazine
    -0.53
    liest
    -0.53
    beard
    -0.53
     ejected
    -0.53
    POSITIVE LOGITS
    ¶
    0.87
    ¤
    0.80
    ĭ
    0.80
    ĥ
    0.78
    ¹
    0.76
    Ĥ
    0.75
    ħ
    0.74
    ĵĺ
    0.73
    abi
    0.72
    alk
    0.71
    Activations Density 0.369%

    No Known Activations