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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. 3516
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    INDEX
    Explanations

    information related to economics and statistics

    oai_token-act-pair · gpt-3.5-turbo

    percentages and their significance in economic contexts

    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
    eln
    -0.83
     delicate
    -0.75
    illus
    -0.73
    odox
    -0.72
    kat
    -0.71
    Sov
    -0.68
    bek
    -0.64
    Newsletter
    -0.63
    izoph
    -0.63
    ritz
    -0.62
    POSITIVE LOGITS
     Percentage
    1.31
     (%)
    1.24
    adjusted
    1.14
     percentage
    1.14
     Median
    1.11
     Average
    1.11
     Percent
    1.10
     Avg
    1.09
     Adjusted
    1.08
     (%
    1.03
    Activations Density 0.907%

    No Known Activations