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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. 11-RES-JB
    11. 5023
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    Explanations

    references to media and journalism-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to media-related content or topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    jriwal
    -0.89
     Erie
    -0.84
     Frieza
    -0.79
     turkey
    -0.78
    anon
    -0.74
    ulhu
    -0.74
    York
    -0.72
    ultan
    -0.72
    oner
    -0.72
    æĸ¹
    -0.72
    POSITIVE LOGITS
     Mat
    2.41
    Mat
    2.16
     MAT
    1.92
     mat
    1.85
    mat
    1.77
    MAT
    1.70
     mats
    1.43
     Math
    1.39
     Matth
    1.37
     Mats
    1.34
    Activations Density 0.263%

    No Known Activations