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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. 1-RES-JB
    6. 11154
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anwhile
    -0.42
    smoking
    -0.42
    ItemThumbnailImage
    -0.40
    after
    -0.39
    upon
    -0.38
    issued
    -0.38
    burning
    -0.37
    doing
    -0.37
    bearing
    -0.37
    ossier
    -0.37
    POSITIVE LOGITS
    wcs
    0.55
    terness
    0.54
    natureconservancy
    0.52
     lapt
    0.48
    irez
    0.46
     vulner
    0.45
    iosyn
    0.44
     toget
    0.43
     mathemat
    0.43
     Morty
    0.42
    Activations Density 7.338%

    No Known Activations