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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. 2-RES-JB
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    Explanations

    descriptions of ceremonial events

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "ceremony" within the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sol
    -0.71
    resp
    -0.69
    cro
    -0.66
    poor
    -0.65
    gets
    -0.63
     predic
    -0.62
    abol
    -0.62
    Tweet
    -0.62
    interest
    -0.59
    efficients
    -0.59
    POSITIVE LOGITS
     ceremony
    1.43
     ceremonies
    1.33
    antry
    0.90
    naire
    0.87
     Cere
    0.86
     rituals
    0.86
     ritual
    0.83
     honors
    0.82
     festivities
    0.78
     procession
    0.78
    Activations Density 0.009%

    No Known Activations