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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 4567
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    Explanations

    food and drink items

    oai_token-act-pair · gpt-3.5-turbo

    terms and phrases related to food and pricing

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     appealing
    -0.54
    swing
    -0.52
    paio
    -0.51
     tempting
    -0.51
     recall
    -0.50
     mend
    -0.49
     overt
    -0.49
     desirable
    -0.48
     camp
    -0.48
     unfavorable
    -0.46
    POSITIVE LOGITS
     (@
    0.64
    ocre
    0.64
    eday
    0.63
    _.
    0.61
    sic
    0.61
    _-
    0.59
    ONSORED
    0.59
    ?,
    0.58
    _(
    0.57
    Laughs
    0.56
    Activations Density 0.975%

    No Known Activations