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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. 6-RES-JB
    6. 20271
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    Explanations

    information about the monetary value of items or services mentioned

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to financial value or worth

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    helle
    -0.84
    eday
    -0.77
    say
    -0.74
    ħĭ
    -0.73
    ĸļ
    -0.72
    gow
    -0.70
    ades
    -0.70
    edin
    -0.68
    apist
    -0.66
    ulhu
    -0.66
    POSITIVE LOGITS
     groceries
    0.94
     dollars
    0.86
     goods
    0.79
     Dollars
    0.76
     materials
    0.72
     ammunition
    0.71
     taxpayer
    0.71
     grapes
    0.71
     goodies
    0.71
     belongings
    0.69
    Activations Density 0.071%

    No Known Activations