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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. 20274
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    Explanations

    numerical values related to financial transactions or amounts of money

    oai_token-act-pair · gpt-3.5-turbo

    the word "in" used in various contexts

    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
    few
    -0.79
    deck
    -0.75
    HAEL
    -0.75
    edly
    -0.69
    leader
    -0.68
    PIN
    -0.67
    genre
    -0.65
    rily
    -0.65
    station
    -0.65
    MODE
    -0.64
    POSITIVE LOGITS
    effic
    0.95
     excess
    0.94
     advance
    0.90
     total
    0.89
     increments
    0.89
    ordinate
    0.86
     aggregate
    0.85
     USD
    0.85
     terms
    0.84
     dollars
    0.84
    Activations Density 0.091%

    No Known Activations