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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. 12580
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    INDEX
    Explanations

    specific actions and events related to people interacting and communicating with each other

    oai_token-act-pair · gpt-3.5-turbo

    references to financial support and community involvement

    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
    iferation
    -0.67
    iery
    -0.61
     occasional
    -0.57
     1961
    -0.57
    imester
    -0.56
    emaker
    -0.55
    requires
    -0.54
    assad
    -0.54
    natureconservancy
    -0.54
     2019
    -0.54
    POSITIVE LOGITS
    .:
    0.97
    :[
    0.94
     stating
    0.85
    :"
    0.85
    .[
    0.81
     totaling
    0.80
    .#
    0.79
    âĶĢâĶĢ
    0.76
    .):
    0.76
     thanking
    0.75
    Activations Density 0.707%

    No Known Activations