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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. 4-RES-JB
    11. 13354
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    Explanations

    injuries or medical conditions

    oai_token-act-pair · gpt-3.5-turbo

    past participles of verbs related to injury and medical conditions

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

    No Comments

    Negative Logits
    etics
    -0.69
    wall
    -0.66
    Ring
    -0.66
    itta
    -0.65
    lay
    -0.64
    log
    -0.64
    Plex
    -0.63
    rise
    -0.62
    falls
    -0.62
    aldi
    -0.62
    POSITIVE LOGITS
    terday
    0.93
    nesday
    0.93
    imentary
    0.91
    monton
    0.80
    */(
    0.76
    ĸļ
    0.75
    CLASSIFIED
    0.72
     aback
    0.70
     Parenthood
    0.69
    urally
    0.68
    Activations Density 0.115%

    No Known Activations