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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. 11-RES-JB
    6. 19122
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    Explanations

    keywords related to numerical quantities and values

    oai_token-act-pair · gpt-3.5-turbo

    monetary values and measurements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    depending
    -0.49
     anybody
    -0.49
    Either
    -0.49
     anytime
    -0.46
     anywhere
    -0.45
    oner
    -0.44
    Whatever
    -0.44
    )}
    -0.43
    :{
    -0.43
     anyone
    -0.43
    POSITIVE LOGITS
     and
    1.55
    and
    1.15
     AND
    1.13
     &
    1.03
    And
    0.84
     And
    0.83
     et
    0.67
    andr
    0.65
    ands
    0.64
     versus
    0.64
    Activations Density 3.862%

    No Known Activations