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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. 10-RES-JB
    6. 18214
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    Explanations

    phrases related to the beginning or initiation of activities or events

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "start" and phrases related to beginnings or initiation

    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
     entirety
    -0.66
    selves
    -0.60
    ãĤĭ
    -0.59
     notorious
    -0.58
     Quarterly
    -0.58
     surv
    -0.57
    æ©Ł
    -0.57
     keyboards
    -0.57
     majority
    -0.55
     Bastard
    -0.54
    POSITIVE LOGITS
    nings
    1.32
    ribune
    0.99
    ups
    0.98
    up
    0.93
    ners
    0.92
    date
    0.89
     date
    0.88
    UP
    0.87
    rek
    0.86
    strap
    0.84
    Activations Density 0.050%

    No Known Activations