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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. 6-RES-JB
    11. 21990
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    INDEX
    Explanations

    precise terms like "runner-up" and numbers related to competition or rankings

    oai_token-act-pair · gpt-3.5-turbo

    references to competitive rankings or awards, especially in the context of individuals or entities being recognized

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aza
    -0.70
    Flickr
    -0.66
    atche
    -0.64
    achine
    -0.63
    arre
    -0.63
    apo
    -0.63
     trave
    -0.63
     automate
    -0.62
    umo
    -0.62
    yahoo
    -0.62
    POSITIVE LOGITS
     contender
    0.94
     finalists
    0.82
     loser
    0.81
     contenders
    0.81
    Winner
    0.80
    TAIN
    0.78
     winners
    0.76
     Winners
    0.76
     Winner
    0.75
    eree
    0.75
    Activations Density 0.087%

    No Known Activations