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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. 9-RES-JB
    11. 13665
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    Explanations

    parentheses indicating speech or actions

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks and dialogue indicators, particularly parentheses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     centrally
    -0.71
     established
    -0.70
     manufact
    -0.69
     Kodi
    -0.67
    olicy
    -0.67
     steep
    -0.67
     Leilan
    -0.66
     densely
    -0.65
     enrol
    -0.64
     elect
    -0.64
    POSITIVE LOGITS
    laughs
    1.92
    Laughs
    1.81
    sic
    1.80
    laughter
    1.62
    âĢ¦)
    1.56
    ...)
    1.53
    laugh
    1.47
    emphasis
    1.37
    ?)
    1.34
    pause
    1.19
    Activations Density 0.108%

    No Known Activations