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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. 7-RES-JB
    11. 14042
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    Explanations

    numbers with a specific formatting pattern which includes a symbol

    oai_token-act-pair · gpt-3.5-turbo

    the character "Ļ" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Chero
    -0.69
     Blacks
    -0.64
     logger
    -0.64
     disadvant
    -0.64
     mathemat
    -0.63
     kicker
    -0.63
     Okin
    -0.62
     unden
    -0.62
     Palestin
    -0.61
     Folk
    -0.60
    POSITIVE LOGITS
    ï¸ı
    1.41
    âĻ
    0.93
    gypt
    0.80
    ðŁ
    0.78
    ï¸
    0.78
    âĹ
    0.77
    audi
    0.76
    Balt
    0.75
    âĤ¬
    0.74
    £
    0.74
    Activations Density 0.357%

    No Known Activations