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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. 7767
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to written works or articles

    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
    elsius
    -0.82
     Predators
    -0.78
     Answer
    -0.66
     Nadu
    -0.61
     Predator
    -0.61
     Snapdragon
    -0.59
    edient
    -0.58
    elight
    -0.58
     princes
    -0.58
     Complex
    -0.58
    POSITIVE LOGITS
    meal
    1.79
    toe
    0.82
     piece
    0.82
    glass
    0.80
    work
    0.78
    fare
    0.78
    book
    0.77
    umen
    0.76
    hook
    0.74
    age
    0.73
    Activations Density 0.015%

    No Known Activations