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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. 11-RES-JB
    11. 3879
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    INDEX
    Explanations

    statistics or numerical information expressed as ratios, specifically with phrases indicating the likelihood or prevalence of certain facts

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate statistical prevalence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bye
    -0.58
     Sands
    -0.58
     drafts
    -0.58
     misunder
    -0.57
     acknowled
    -0.56
    BALL
    -0.54
     slack
    -0.54
     cess
    -0.53
     guid
    -0.53
     straw
    -0.53
    POSITIVE LOGITS
     ten
    1.08
     five
    1.05
     four
    0.98
    dozen
    0.97
     every
    0.95
     three
    0.94
    undred
    0.91
    ighth
    0.90
    illion
    0.90
    ousand
    0.89
    Activations Density 0.038%

    No Known Activations