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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 22145
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    Explanations

    words related to actions or events in specific contexts, such as "get out," "see," "walked in," "go underwater," "gets back into," and "open."

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate actions or occurrences related to getting, seeing, or moving

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gart
    -0.70
    mong
    -0.68
    WER
    -0.68
     aver
    -0.67
    oÄŁ
    -0.66
    avery
    -0.65
    ape
    -0.65
    uther
    -0.62
    never
    -0.62
    ono
    -0.62
    POSITIVE LOGITS
     Stamford
    0.65
     Hitman
    0.65
    issan
    0.62
     Chimera
    0.61
     Shanghai
    0.60
     landfall
    0.60
     PTS
    0.58
     Lanc
    0.58
     Ju
    0.57
    Reviewer
    0.56
    Activations Density 0.250%

    No Known Activations