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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. 0-RES-JB
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    Explanations

    phrases related to meetings or gatherings

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "meet" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    isman
    -0.77
    anan
    -0.66
     Illusion
    -0.65
    ulin
    -0.65
    amm
    -0.62
    ca
    -0.61
    anim
    -0.60
     Friedman
    -0.60
     Root
    -0.59
     Option
    -0.58
    POSITIVE LOGITS
     meet
    3.63
    meet
    2.59
     meets
    2.57
     Meet
    2.26
     met
    1.96
     meeting
    1.89
    Meet
    1.85
     Meeting
    1.43
     satisfy
    1.41
     comply
    1.39
    Activations Density 0.019%

    No Known Activations