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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. 4-RES-JB
    11. 14707
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    Explanations

    phrases or words containing the word "how."

    oai_token-act-pair · gpt-3.5-turbo

    questions or phrases related to methods and locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Lerner
    -0.72
     retention
    -0.70
    lished
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    ãĤ¯
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     tremend
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     resil
    -0.60
     repositories
    -0.60
     cardinal
    -0.59
     Pirates
    -0.59
     climbers
    -0.58
    POSITIVE LOGITS
    theless
    1.07
    isp
    0.85
    icity
    0.85
    izzle
    0.80
    swick
    0.78
    steps
    0.75
    cation
    0.75
    perature
    0.75
    selves
    0.74
    icult
    0.74
    Activations Density 0.037%

    No Known Activations