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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. 9-RES-JB
    11. 3025
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    Explanations

    words or phrases related to an emphasis on a particular aspect or quality of something

    oai_token-act-pair · gpt-3.5-turbo

    phrases with the word "so," often indicating emphasis or intensity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Nex
    -0.66
    iners
    -0.65
    osterone
    -0.64
    smith
    -0.63
     Beans
    -0.61
    emet
    -0.61
    ULTS
    -0.59
    atform
    -0.59
     Landing
    -0.59
    works
    -0.59
    POSITIVE LOGITS
     much
    1.04
     darn
    1.04
     easily
    1.03
     blatantly
    0.95
    oooo
    0.95
     closely
    0.92
     powerfully
    0.91
     brutally
    0.91
     readily
    0.91
    iled
    0.90
    Activations Density 0.099%

    No Known Activations