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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. 3-RES-JB
    11. 17938
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    proper nouns or names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ´ãĥ³
    -0.62
    ĸļ
    -0.61
    enegger
    -0.59
    ãĥ¼ãĥĨ
    -0.59
    anwhile
    -0.56
     referen
    -0.55
    ĪĴ
    -0.55
     Leilan
    -0.53
    ãĥĩãĤ£
    -0.52
    mble
    -0.52
    POSITIVE LOGITS
    coin
    0.56
    Coin
    0.56
    bol
    0.50
    Py
    0.49
     Pass
    0.49
    eland
    0.48
    Serv
    0.47
    anta
    0.46
     Camp
    0.46
    mo
    0.45
    Activations Density 1.219%

    No Known Activations