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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. 6-RES-JB
    6. 17993
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    Explanations

    dates in the format Month Day (with or without Year) mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    the presence of periods or sentence endings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     affili
    -0.69
     hands
    -0.68
     fond
    -0.68
     transact
    -0.68
     portrait
    -0.67
     hug
    -0.67
     stray
    -0.66
     homework
    -0.65
     ribbon
    -0.64
     imperson
    -0.64
    POSITIVE LOGITS
     Additionally
    1.32
     However
    1.30
     Meanwhile
    1.19
     Afterwards
    1.18
     Furthermore
    1.17
     Similarly
    1.16
     Also
    1.15
     Moreover
    1.12
     Unfortunately
    1.12
     Interestingly
    1.12
    Activations Density 0.289%

    No Known Activations