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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. 21614
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    INDEX
    Explanations

    statistics or percentages in research studies or surveys

    oai_token-act-pair · gpt-3.5-turbo

    numerical statistics and percentages related to various studies

    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
    FTWARE
    -0.65
    jen
    -0.59
    undai
    -0.58
    ihara
    -0.58
     glim
    -0.56
    urat
    -0.56
    ilic
    -0.55
     Healer
    -0.55
     illum
    -0.54
    timer
    -0.54
    POSITIVE LOGITS
    %
    1.83
     percent
    1.77
    %"
    1.64
    %-
    1.58
    percent
    1.49
    %;
    1.44
    %)
    1.43
    %,
    1.42
     %
    1.42
     Percent
    1.34
    Activations Density 0.160%

    No Known Activations