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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 10-RES-JB
    11. 997
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    Explanations

    addresses and contact information

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and contact information in a structured format

    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
     dominating
    -0.75
     piling
    -0.74
     proced
    -0.73
     chunks
    -0.73
     overpowered
    -0.73
     gradually
    -0.73
     forcing
    -0.72
     beating
    -0.69
     objectively
    -0.69
     hindsight
    -0.67
    POSITIVE LOGITS
    Fax
    1.64
    Website
    1.38
    www
    1.33
    facebook
    1.32
    Email
    1.25
    Phone
    1.23
    SOURCE
    1.22
    Contact
    1.19
    Tel
    1.18
    email
    1.17
    Activations Density 0.202%

    No Known Activations