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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. 16823
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    Explanations

    references to historical events or developments

    oai_token-act-pair · gpt-3.5-turbo

    references to significant historical events and milestones

    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
    ional
    -0.89
    raf
    -0.85
    leground
    -0.82
    .--
    -0.82
    alan
    -0.81
    rame
    -0.79
    accompanied
    -0.75
    RM
    -0.75
    TION
    -0.75
    rade
    -0.74
    POSITIVE LOGITS
     dinosaurs
    1.29
     invention
    1.29
     Beatles
    1.17
     Soviets
    1.16
     Romans
    1.16
     Titanic
    1.13
     Industrial
    1.12
     advent
    1.12
     earliest
    1.11
     Enlightenment
    1.11
    Activations Density 0.295%

    No Known Activations