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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. 10-RES-JB
    6. 18382
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    Explanations

    numerical values in sentence contexts

    oai_token-act-pair · gpt-3.5-turbo

    numerical values and statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     weddings
    -0.34
     strongh
    -0.33
    ewitness
    -0.32
     funer
    -0.32
     billboards
    -0.31
     approvals
    -0.30
     roadside
    -0.30
     deadlines
    -0.30
     anecdotal
    -0.30
     filib
    -0.29
    POSITIVE LOGITS
    Åį
    0.33
    µ
    0.32
     ..........
    0.31
    ↵
    0.31
    .;
    0.31
    idae
    0.31
    ","
    0.30
    Äĵ
    0.30
     |
    0.29
    t
    0.29
    Activations Density 2.215%

    No Known Activations