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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. 11032
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    INDEX
    Explanations

    sentences containing the phrase "how much."

    oai_token-act-pair · gpt-3.5-turbo

    statements or questions related to quantifying amounts or degrees

    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
    £ı
    -0.89
    ¥ŀ
    -0.71
    §
    -0.68
    ¢
    -0.68
    ĪĴ
    -0.65
    utics
    -0.64
    ĺ
    -0.64
    Ń
    -0.63
    ĺħ
    -0.63
    Ĥ¬
    -0.62
    POSITIVE LOGITS
     per
    0.77
     allotted
    0.77
     apiece
    0.76
    Quantity
    0.75
    Minimum
    0.72
     depends
    0.71
    worth
    0.71
     devoted
    0.71
    /$
    0.70
     feas
    0.68
    Activations Density 0.238%

    No Known Activations