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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. 7-RES-JB
    11. 8580
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    Explanations

    instances related to educational topics

    oai_token-act-pair · gpt-3.5-turbo

    references to the topic of education

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pload
    -0.77
    axy
    -0.74
     Barker
    -0.65
     Bundy
    -0.64
    asio
    -0.61
     bluff
    -0.61
    ioxide
    -0.61
    adian
    -0.60
     nesting
    -0.60
    hedral
    -0.60
    POSITIVE LOGITS
     curriculum
    0.92
     attainment
    0.90
     curric
    0.84
    ally
    0.84
     vit
    0.82
    llor
    0.78
    Grade
    0.77
    heid
    0.77
    icol
    0.76
    ajo
    0.75
    Activations Density 0.033%

    No Known Activations