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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. 1-RES-JB
    11. 17996
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    Explanations

    instances of audience appreciation such as applause or cheers

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with applause and approval

    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
    gamer
    -0.73
    cephal
    -0.72
    opic
    -0.67
    teen
    -0.67
    quel
    -0.66
    smart
    -0.65
    Travel
    -0.65
    mg
    -0.63
    intestinal
    -0.63
    sexual
    -0.63
    POSITIVE LOGITS
     applause
    1.34
     cheers
    1.33
     laughter
    0.96
     cheering
    0.94
    hovah
    0.87
     cheered
    0.85
     chants
    0.83
     applaud
    0.83
     thanking
    0.83
     shouts
    0.80
    Activations Density 0.012%

    No Known Activations