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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. 1742
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    Explanations

    requests or calls to action in sentences

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to prompts or requests for actions from the reader

    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
    ãĤ´ãĥ³
    -0.80
    minster
    -0.77
    Range
    -0.68
    ãĥ¼ãĤ¯
    -0.68
    SpaceEngineers
    -0.67
    ļéĨĴ
    -0.63
    jit
    -0.63
    fn
    -0.63
    osite
    -0.62
    Dir
    -0.62
    POSITIVE LOGITS
     please
    1.40
    please
    1.31
     congratulations
    1.30
     congr
    1.27
     PLEASE
    1.19
     kindly
    1.00
     check
    0.91
     you
    0.90
    you
    0.87
     let
    0.85
    Activations Density 0.138%

    No Known Activations