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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. 3-RES-JB
    11. 18170
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    Explanations

    clauses following a comma (,) in text

    oai_token-act-pair · gpt-3.5-turbo

    phrases containing commas, indicating complex or multifaceted ideas

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ety
    -0.64
    irection
    -0.64
    itionally
    -0.61
    ":"/
    -0.61
     <[
    -0.60
    orn
    -0.57
     trouble
    -0.57
    ocious
    -0.57
     appro
    -0.57
    !--
    -0.56
    POSITIVE LOGITS
     albeit
    0.94
     etc
    0.93
     namely
    0.87
    76561
    0.80
     respectively
    0.78
     which
    0.77
     aka
    0.74
     preferably
    0.74
     whereas
    0.71
     including
    0.71
    Activations Density 1.366%

    No Known Activations