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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. 1139
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    INDEX
    Explanations

    numbers indicating multiples or comparisons, such as "three times more" or "four times higher"

    oai_token-act-pair · gpt-3.5-turbo

    quantitative expressions and comparisons involving the number three

    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
    vantage
    -0.78
    eston
    -0.75
    guide
    -0.73
    ndum
    -0.72
    IAS
    -0.72
    webkit
    -0.71
    committee
    -0.70
    isky
    -0.68
    mud
    -0.68
    ablishment
    -0.68
    POSITIVE LOGITS
     hundred
    1.46
    fold
    1.45
     quarters
    1.44
    teenth
    1.40
     thirds
    1.35
     times
    1.28
     thousand
    1.18
     dozen
    1.16
    teen
    1.07
     months
    1.06
    Activations Density 0.153%

    No Known Activations