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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. 3094
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    INDEX
    Explanations

    prepositions followed by a noun phrase which often involves various forms of entities such as chemicals, locations, and individuals

    oai_token-act-pair · gpt-3.5-turbo

    prepositions indicating relationships or connections

    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
    sers
    -0.68
    qv
    -0.64
     ãĤµ
    -0.63
    irez
    -0.62
    wo
    -0.62
    ten
    -0.61
    SPA
    -0.59
    ,[
    -0.59
    js
    -0.58
     Citiz
    -0.58
    POSITIVE LOGITS
     Tel
    0.70
    uyomi
    0.70
     Gamble
    0.68
    affer
    0.66
     contrad
    0.64
     Jane
    0.59
    ĸļ
    0.59
    γ
    0.58
     Baal
    0.58
    isine
    0.57
    Activations Density 0.434%

    No Known Activations