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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. 23493
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    Explanations

    names of people and organizations, particularly focusing on their founding or launching

    oai_token-act-pair · gpt-3.5-turbo

    words related to founding or launching organizations and companies

    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
     dstg
    -0.78
     departed
    -0.66
     slightest
    -0.64
    âĨij
    -0.63
    Rober
    -0.63
    Spoiler
    -0.63
    anyl
    -0.62
    Elsa
    -0.62
    SPONSORED
    -0.61
    2019
    -0.60
    POSITIVE LOGITS
     Operation
    0.79
     Bite
    0.75
     Bound
    0.74
     Velocity
    0.72
     Habit
    0.72
     Concepts
    0.72
     Convers
    0.71
     Dreams
    0.71
     Cod
    0.71
     Drift
    0.71
    Activations Density 0.192%

    No Known Activations