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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. 6-RES-JB
    6. 4072
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    technical terms and concepts related to programming and software development

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Pwr
    -0.74
    xia
    -0.61
     Blossom
    -0.60
    ãĥĥ
    -0.59
    rontal
    -0.59
    rary
    -0.59
    ccording
    -0.59
    ASED
    -0.58
    ãĥĥãĥī
    -0.56
    ICAN
    -0.55
    POSITIVE LOGITS
    hoff
    0.57
    telling
    0.56
    puff
    0.56
    glers
    0.54
    heit
    0.52
     Egyptians
    0.51
    igans
    0.51
     cle
    0.50
    utsche
    0.50
     Alger
    0.48
    Activations Density 1.051%

    No Known Activations