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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. 17311
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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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    No Comments

    Negative Logits
     centrif
    -0.68
    enegger
    -0.67
     suicide
    -0.66
     doping
    -0.63
     Dodd
    -0.61
     Gibson
    -0.60
     relation
    -0.60
     biodiversity
    -0.59
     Hamm
    -0.59
     suspensions
    -0.59
    POSITIVE LOGITS
    Ĩ
    1.74
    ĥ
    1.64
    Į
    1.64
    İ
    1.63
    ĭ
    1.61
    «
    1.60
    ł
    1.58
    ¹
    1.58
    Ĭ
    1.57
    ĺ
    1.57
    Activations Density 0.023%

    No Known Activations