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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 1-RES-JB
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    Explanations

    ceremonial events or activities

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of ceremonies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sol
    -0.81
    resp
    -0.71
    Trend
    -0.67
    poor
    -0.65
    Il
    -0.64
    fram
    -0.62
     preval
    -0.61
    laws
    -0.60
    Tweet
    -0.60
     predic
    -0.59
    POSITIVE LOGITS
     ceremony
    1.58
     ceremonies
    1.38
     Cere
    0.97
    mony
    0.94
    antry
    0.91
     festivities
    0.88
     honors
    0.88
    nesday
    0.85
     ritual
    0.84
     ceremon
    0.83
    Activations Density 0.008%

    No Known Activations