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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. 9-RES-JB
    11. 3722
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    INDEX
    Explanations

    dates, numerical values, and measurements in text

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and specific historical references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    .''
    -0.80
    .''.
    -0.77
    .</
    -0.72
    .'"
    -0.69
    .—
    -0.65
    ."
    -0.63
    ãĢĤ
    -0.62
    .","
    -0.62
    .�
    -0.62
    .–
    -0.62
    POSITIVE LOGITS
     english
    0.77
     civilisation
    0.74
     organise
    0.73
     realise
    0.69
     princip
    0.68
     alot
    0.67
     util
    0.67
     organis
    0.65
     defence
    0.64
     jew
    0.64
    Activations Density 2.199%

    No Known Activations