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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. 5-RES-JB
    6. 16788
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    Explanations

    names or terms containing a combination of letters such as 'nd', 'n', 't', 'brandt', 'zeug', 'ug', 'ny', 'nyu', 'ox', 'il', 'tox', 'ar', 'vara', 'gyu', 'wek,

    oai_token-act-pair · gpt-3.5-turbo

    specific identifiers or entities, possibly names or nouns

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     darn
    -0.59
     cowboy
    -0.59
    į
    -0.57
    Spl
    -0.56
     crim
    -0.55
    ochet
    -0.54
    amar
    -0.53
    Prim
    -0.53
     convol
    -0.53
     CLS
    -0.52
    POSITIVE LOGITS
    oglu
    0.84
    ãģ®ç
    0.78
    tsy
    0.74
    phia
    0.73
    aii
    0.72
    ãģ®é
    0.71
    illus
    0.71
    atari
    0.70
    ossier
    0.68
    sson
    0.68
    Activations Density 0.392%

    No Known Activations