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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. 3-RES-JB
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    INDEX
    Explanations

    mentions of the word "vinegar"

    oai_token-act-pair · gpt-3.5-turbo

    references to vinegar and its various uses or properties

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sight
    -0.77
    zee
    -0.76
    nell
    -0.75
    ħ
    -0.75
    liner
    -0.74
    Minnesota
    -0.73
    share
    -0.72
    heimer
    -0.72
    bed
    -0.72
    sie
    -0.70
    POSITIVE LOGITS
     Pwr
    0.81
    quished
    0.75
     vinegar
    0.74
     Yor
    0.71
    incible
    0.70
     distingu
    0.70
     Alb
    0.67
    ulet
    0.67
    ces
    0.67
     Strateg
    0.67
    Activations Density 0.024%

    No Known Activations