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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. 10897
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    Explanations

    phrases indicating the start of a list or a new topic, specifically starting with words like "Some" or "Like"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "some" and its variations in the context of discussions

    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
    eret
    -0.65
    runtime
    -0.63
    BuyableInstoreAndOnline
    -0.61
    ifice
    -0.61
    âĢ¢âĢ¢âĢ¢âĢ¢
    -0.60
    ACTED
    -0.60
     theirs
    -0.58
    abad
    -0.58
    âĦ¢:
    -0.58
    RY
    -0.58
    POSITIVE LOGITS
    how
    1.43
    body
    1.29
     argue
    1.03
     speculate
    0.96
     commentators
    0.92
    ones
    0.90
     observers
    0.90
    place
    0.89
     commenters
    0.87
     people
    0.85
    Activations Density 0.077%

    No Known Activations