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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. 0-RES-JB
    6. 20442
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to the term 'bin'

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     creep
    -0.67
     premium
    -0.66
     demand
    -0.63
     attentive
    -0.61
    ishable
    -0.60
     hover
    -0.59
     attendance
    -0.59
     penalty
    -0.57
     Tem
    -0.57
     Madison
    -0.57
    POSITIVE LOGITS
    bin
    4.55
     bin
    1.60
     Bin
    1.34
    bing
    1.33
    bish
    1.23
    bi
    1.19
    ben
    1.16
    bian
    1.13
    src
    1.11
    bs
    1.11
    Activations Density 0.017%

    No Known Activations