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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. 836
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    Explanations

    references to the cost of different items or services

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of cost

    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
    ĸļ
    -0.94
    istar
    -0.78
    wcs
    -0.77
    Nap
    -0.76
    ittees
    -0.76
    wcsstore
    -0.75
    ï¸ı
    -0.75
    AppData
    -0.74
    rev
    -0.73
    rist
    -0.72
    POSITIVE LOGITS
     goods
    0.81
     each
    0.78
    paying
    0.73
     groceries
    0.73
     maintaining
    0.69
     untreated
    0.69
     renting
    0.69
    keeping
    0.69
     commuting
    0.68
     borrowing
    0.68
    Activations Density 0.090%

    No Known Activations