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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. 10-RES-JB
    11. 12178
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    Explanations

    names of different entities such as organizations and locations

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and statistics related to sports events and related announcements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     citiz
    -0.83
     maths
    -0.75
     ageing
    -0.73
     dissu
    -0.72
     whine
    -0.71
     hiber
    -0.71
     civilisation
    -0.70
     scept
    -0.70
     practise
    -0.69
    ython
    -0.69
    POSITIVE LOGITS
    PHOTOS
    1.04
    Contents
    1.01
    Synopsis
    0.95
     Related
    0.90
    ³³³
    0.86
    RESULTS
    0.82
    ³³³³³³³³³³³³³³³³
    0.79
    Prior
    0.79
    RELATED
    0.77
    ↵
    0.77
    Activations Density 0.363%

    No Known Activations