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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. 3-RES-JB
    6. 22164
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    Explanations

    commands and steps for software development and installation

    oai_token-act-pair · gpt-3.5-turbo

    commands related to software installations and configurations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Dickinson
    -0.81
     Norris
    -0.78
    HCR
    -0.74
     Lowry
    -0.72
     Gallup
    -0.72
     Sik
    -0.68
     Cassidy
    -0.66
     Cotton
    -0.66
    ierrez
    -0.65
     incorpor
    -0.65
    POSITIVE LOGITS
    based
    1.26
    level
    1.16
    sized
    1.11
    derived
    1.05
    type
    1.04
    generic
    1.03
    related
    1.02
    style
    1.01
    dimensional
    1.01
    spec
    1.01
    Activations Density 0.282%

    No Known Activations