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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. 5395
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    INDEX
    Explanations

    terms related to accounting or considering various factors or adjustments

    oai_token-act-pair · gpt-3.5-turbo

    terms related to statistical analysis and controlling variables in research

    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
    Ñı
    -0.87
    rouse
    -0.79
     largeDownload
    -0.76
    sis
    -0.74
    ãĥ¢
    -0.73
    å§
    -0.70
    ni
    -0.69
    ograp
    -0.69
    cyclopedia
    -0.68
    inch
    -0.67
    POSITIVE LOGITS
     factors
    1.28
     inflation
    1.27
     outl
    1.20
     covari
    1.17
     depreciation
    1.15
     confounding
    1.13
     variables
    1.12
     rounding
    1.02
     modifiers
    1.01
     subtract
    0.99
    Activations Density 0.158%

    No Known Activations