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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. 10-RES-JB
    11. 5558
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    INDEX
    Explanations

    references to time durations, specifically in the format of X hours:X minutes

    oai_token-act-pair · gpt-3.5-turbo

    sentences indicating significant achievements or noteworthy occurrences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ļéĨĴ
    -0.74
    FORE
    -0.66
    instead
    -0.64
    mere
    -0.63
     Partial
    -0.61
    Reference
    -0.59
    poral
    -0.59
    ecause
    -0.59
    sim
    -0.59
    »Ĵ
    -0.58
    POSITIVE LOGITS
     hype
    0.91
     favourites
    0.90
     bullish
    0.89
     buzz
    0.80
     contenders
    0.78
     excitement
    0.77
     underrated
    0.77
     momentum
    0.75
     intrigue
    0.75
     fans
    0.73
    Activations Density 0.721%

    No Known Activations