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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. 10-RES-JB
    6. 7368
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    Explanations

    combinations or incorporations of different elements into a unified whole

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the integration or combination of multiple elements into a cohesive whole

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥ©ãĥ³
    -0.69
     awa
    -0.62
    ander
    -0.62
    esan
    -0.61
    ffect
    -0.60
    lean
    -0.58
    ãĥĥãĤ¯
    -0.58
    lash
    -0.58
    rued
    -0.58
    mark
    -0.57
    POSITIVE LOGITS
     one
    1.02
     cohesive
    0.99
     ONE
    0.90
     single
    0.90
     coherent
    0.83
     manageable
    0.83
     harmony
    0.82
     common
    0.82
     unison
    0.81
     singular
    0.81
    Activations Density 0.241%

    No Known Activations