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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. 2610
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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
    undai
    -0.90
     Starr
    -0.83
    ggle
    -0.74
    bee
    -0.71
    uke
    -0.69
     dexter
    -0.67
     stake
    -0.66
    owler
    -0.66
     Riley
    -0.66
    ffer
    -0.63
    POSITIVE LOGITS
    оÐ
    1.94
    и
    1.86
    Ñĭ
    1.81
    а
    1.80
    Ñĥ
    1.74
    о
    1.70
    е
    1.70
    ÑĮ
    1.66
    к
    1.64
    ÑĢ
    1.61
    Activations Density 0.021%

    No Known Activations