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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. 4-RES-JB
    6. 18237
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    Explanations

    actions or abilities that can have an impact or effect

    oai_token-act-pair · gpt-3.5-turbo

    actions or capabilities associated with doing or taking something

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

    No Comments

    Negative Logits
     Mell
    -0.62
     Jur
    -0.61
     Cly
    -0.60
    }"
    -0.60
     Kub
    -0.60
    BuyableInstoreAndOnline
    -0.59
    ĸļ
    -0.58
     Suz
    -0.58
     Ruk
    -0.58
     Sabb
    -0.57
    POSITIVE LOGITS
     safely
    0.99
     easily
    0.90
    ibly
    0.80
    ivably
    0.80
     anytime
    0.78
     muster
    0.78
     freely
    0.75
     anywhere
    0.72
    estine
    0.72
     efficiently
    0.71
    Activations Density 0.505%

    No Known Activations