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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. 8730
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    Explanations

    phrases related to notifying, informing, and alerting others

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals or entities being informed or notified

    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
    agne
    -0.59
    Words
    -0.58
    xtap
    -0.54
    ulia
    -0.52
    evil
    -0.52
    aband
    -0.52
    BuyableInstoreAndOnline
    -0.51
    ternity
    -0.51
    uner
    -0.50
    Ô
    -0.50
    POSITIVE LOGITS
     thereof
    1.11
     of
    1.06
     that
    1.02
     about
    0.96
    that
    0.89
    of
    0.88
     OF
    0.86
     beforehand
    0.81
     otherwise
    0.81
    about
    0.80
    Activations Density 0.173%

    No Known Activations