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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. 13669
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    Explanations

    instances of positive audience reactions such as cheers and applause

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases associated with expressions of approval and recognition

    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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    No Comments

    Negative Logits
    change
    -0.69
    smart
    -0.69
    opic
    -0.65
    cephal
    -0.63
    quel
    -0.62
    toe
    -0.62
    maps
    -0.62
    Travel
    -0.61
     metic
    -0.61
     researched
    -0.60
    POSITIVE LOGITS
     applause
    1.13
     cheers
    1.11
    hovah
    0.90
     cheering
    0.88
     laughter
    0.82
     thanking
    0.82
     shouts
    0.81
     cheered
    0.80
     voic
    0.79
    ause
    0.78
    Activations Density 0.024%

    No Known Activations