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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. 5472
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    Explanations

    Latin words and phrases, particularly those with special characters like diacritics

    oai_token-act-pair · gpt-3.5-turbo

    sequences of special characters or symbols

    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
     consolation
    -0.72
     relegation
    -0.71
     clipping
    -0.71
     WARN
    -0.69
     unforeseen
    -0.69
     resignation
    -0.68
     withdrawals
    -0.66
     redemption
    -0.65
     priceless
    -0.64
     inheritance
    -0.64
    POSITIVE LOGITS
    É
    1.81
    ËĪ
    1.78
    Ë
    1.45
    Ê
    1.35
    Äĵ
    1.34
    Ì
    1.30
    Í
    1.22
    Ä«
    1.19
    Åį
    1.18
    Äģ
    1.16
    Activations Density 0.035%

    No Known Activations