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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. 10-RES-JB
    11. 6007
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    Explanations

    Serbian words and phrases mixed with various other languages

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks and special characters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     exha
    -0.81
     advancement
    -0.74
     welf
    -0.74
    visors
    -0.73
     boosters
    -0.70
    sembly
    -0.69
    eatures
    -0.68
     estates
    -0.68
     staffing
    -0.68
     utilities
    -0.67
    POSITIVE LOGITS
     Ù
    1.71
     Ø
    1.71
     ÙĪ
    1.65
     Ð
    1.65
    Ú
    1.62
     Ùħ
    1.57
    ÙĪ
    1.45
     اÙĦ
    1.44
    Û
    1.43
    Ø
    1.42
    Activations Density 0.044%

    No Known Activations