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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. 11-RES-JB
    6. 19484
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    Explanations

    phrases related to document formatting and editing

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating conditional or qualifying statements about content variation and form

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ware
    -0.76
    orship
    -0.64
    hower
    -0.64
    chnology
    -0.61
    gaard
    -0.61
    onite
    -0.58
    geist
    -0.58
    xia
    -0.57
    glers
    -0.57
    ologies
    -0.56
    POSITIVE LOGITS
    eter
    0.52
    e
    0.51
    Eng
    0.50
     ali
    0.48
    ini
    0.47
    LI
    0.45
    ILL
    0.44
    eno
    0.44
    est
    0.44
    idi
    0.43
    Activations Density 0.248%

    No Known Activations