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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 9893
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    Explanations

    words related to processes or actions involving optimization or systematic organization

    oai_token-act-pair · gpt-3.5-turbo

    noun forms related to processes and actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    {"
    -0.72
    bold
    -0.70
    enegger
    -0.69
    illac
    -0.67
    ocally
    -0.66
    NAME
    -0.65
    netflix
    -0.62
    zens
    -0.61
    isine
    -0.61
    asters
    -0.61
    POSITIVE LOGITS
     process
    1.60
     mechanism
    1.47
     procedure
    1.30
     ceremony
    1.29
     phase
    1.15
     scheme
    1.13
     period
    1.06
     method
    1.04
     algorithm
    1.02
     technique
    1.01
    Activations Density 0.487%

    No Known Activations