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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. 23716
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    Explanations

    pronunciations of words or phrases

    oai_token-act-pair · gpt-3.5-turbo

    terms and phrases related to food and cuisine

    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
     CPI
    -0.70
     CPS
    -0.67
     relegation
    -0.66
     resignation
    -0.64
     consolation
    -0.63
     emergencies
    -0.61
     innocence
    -0.61
     unimaginable
    -0.61
     Mandatory
    -0.61
     unbelievable
    -0.60
    POSITIVE LOGITS
    É
    2.06
    ËĪ
    1.94
    Ë
    1.63
    Ê
    1.50
    Í
    1.39
    Ì
    1.39
    Äĵ
    1.38
    áµ
    1.30
    Åį
    1.26
    æ
    1.26
    Activations Density 0.047%

    No Known Activations