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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. 3948
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    oai_token-act-pair · gpt-3.5-turbo

    references to web URLs and associated content

    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
    ĸļ
    -0.80
    xual
    -0.54
     Lauder
    -0.54
    antage
    -0.53
     Mub
    -0.52
     Vaugh
    -0.52
     citiz
    -0.50
     Ambro
    -0.49
    dden
    -0.49
     Rae
    -0.48
    POSITIVE LOGITS
    Ĥİ
    0.58
    iasco
    0.58
    hemy
    0.54
    tes
    0.50
    USD
    0.49
    thur
    0.49
    tein
    0.48
    Äį
    0.47
    Å¡
    0.47
    INC
    0.47
    Activations Density 1.391%

    No Known Activations