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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. 15660
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    Explanations

    business and entrepreneurial advice

    oai_token-act-pair · gpt-3.5-turbo

    themes related to the challenges and motivations of entrepreneurship

    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
    ocaust
    -0.72
    USS
    -0.72
    iannopoulos
    -0.72
     Hels
    -0.65
     Murdoch
    -0.64
     Mous
    -0.64
    Mos
    -0.63
    ablishment
    -0.62
     cartel
    -0.62
     Kazakh
    -0.61
    POSITIVE LOGITS
     mindfulness
    0.92
    ometimes
    0.92
     stressful
    0.87
     ALWAYS
    0.87
     Happiness
    0.86
     willpower
    0.84
     subconscious
    0.83
     ðŁĻĤ
    0.82
     addictive
    0.82
     happiness
    0.81
    Activations Density 1.109%

    No Known Activations