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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. 8-RES-JB
    11. 7151
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    Explanations

    mentions of competition or competitive activities

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "comp" and related terms, likely focusing on competition or comparative concepts

    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
     Borough
    -0.69
    uates
    -0.69
     Greenwich
    -0.66
    thur
    -0.65
    hao
    -0.63
    der
    -0.63
     caution
    -0.62
    IAS
    -0.62
    ãĥīãĥ©ãĤ´ãĥ³
    -0.61
    kamp
    -0.61
    POSITIVE LOGITS
    etitive
    1.33
    assion
    1.29
    ensation
    1.28
    etition
    1.27
    endium
    1.26
    rehens
    1.25
    ound
    1.19
    rehensive
    1.18
    romising
    1.18
    artment
    1.15
    Activations Density 0.020%

    No Known Activations