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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. 6370
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    Explanations

    the word "kind" or "sort" followed by positive or negative adjectives to describe a variety of subjects

    oai_token-act-pair · gpt-3.5-turbo

    phrases that describe types or categories of things

    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
     VIDEOS
    -0.69
    aimon
    -0.58
    rawdownloadcloneembedreportprint
    -0.58
     veter
    -0.53
    ursday
    -0.52
    agnar
    -0.52
    /,
    -0.52
    yrinth
    -0.52
    foreseen
    -0.52
    heid
    -0.50
    POSITIVE LOGITS
    liest
    1.11
    est
    0.87
    lihood
    0.82
    hest
    0.79
    lier
    0.77
    iest
    0.76
    ling
    0.75
    etting
    0.75
    hearted
    0.74
     of
    0.73
    Activations Density 0.034%

    No Known Activations