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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. 1-RES-JB
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    Explanations

    words related to the beverage "tea."

    oai_token-act-pair · gpt-3.5-turbo

    references and mentions of tea

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    phis
    -0.76
    ities
    -0.71
    izons
    -0.71
     WATCHED
    -0.71
     attm
    -0.69
    ibilities
    -0.68
    osure
    -0.67
     Cosponsors
    -0.66
    aird
    -0.66
    entric
    -0.66
    POSITIVE LOGITS
     tea
    1.36
    Tea
    1.07
     Tea
    1.07
     towels
    1.01
     towel
    0.99
     drinkers
    0.88
     kettle
    0.87
    weed
    0.84
     syrup
    0.84
     flask
    0.83
    Activations Density 0.004%

    No Known Activations