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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. 16225
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    Explanations

    bolded mentions of a specific character or entity

    oai_token-act-pair · gpt-3.5-turbo

    instances of structured or formal communication

    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
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    Negative Logits
    cius
    -0.70
     footing
    -0.69
     dissu
    -0.68
     aging
    -0.67
     ageing
    -0.66
    tackle
    -0.64
     tink
    -0.63
     obscurity
    -0.62
     squats
    -0.62
    rad
    -0.62
    POSITIVE LOGITS
    Example
    0.81
    Contents
    0.77
    Important
    0.75
    NOTE
    0.74
    aspx
    0.70
    Trivia
    0.69
     Specifications
    0.68
    RESULTS
    0.68
    Beta
    0.67
    Due
    0.67
    Activations Density 0.289%

    No Known Activations