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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. 7-RES-JB
    11. 17278
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    Explanations

    keywords related to sports events, scores, and outcomes

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "at" in different contexts related to events or scores

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    itarian
    -0.71
    ratulations
    -0.66
    idav
    -0.64
    ovych
    -0.63
    espie
    -0.62
    ctor
    -0.62
    sett
    -0.62
    Aid
    -0.61
    Folder
    -0.60
    usha
    -0.60
    POSITIVE LOGITS
     halftime
    1.09
     least
    1.03
     home
    0.89
     fullback
    0.89
    rium
    0.88
     Wembley
    0.87
    mosp
    0.87
    onement
    0.87
    las
    0.82
    abase
    0.80
    Activations Density 0.104%

    No Known Activations