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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. 12-RES-JB
    11. 2524
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    INDEX
    Explanations

    explanatory phrases or discussions of events

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    instances of significant events or actions described in the narrative

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    aneers
    -0.96
    vez
    -0.90
    %%%%
    -0.90
    ãĥĥãĤ¯
    -0.87
    Downloadha
    -0.87
    erenn
    -0.87
    Ô
    -0.87
    è¦ļéĨĴ
    -0.87
    maxwell
    -0.81
    adelphia
    -0.80
    POSITIVE LOGITS
     meant
    1.47
     resulted
    1.41
     lasted
    1.37
     led
    1.36
     ensured
    1.35
     prompted
    1.33
     caused
    1.33
     proved
    1.32
     enabled
    1.29
     provoked
    1.28
    Activations Density 0.265%

    No Known Activations