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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

    mentions of words related to the metric system

    oai_token-act-pair · gpt-3.5-turbo

    the term "met" 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
     Spielberg
    -0.78
     Paste
    -0.66
    ++++
    -0.65
     Forsaken
    -0.65
     FG
    -0.63
    acca
    -0.63
     Blink
    -0.62
     blow
    -0.61
    avascript
    -0.61
     strains
    -0.61
    POSITIVE LOGITS
    met
    4.48
    MET
    2.18
    Met
    1.76
    meter
    1.64
    metry
    1.52
     Met
    1.52
    metic
    1.51
     MET
    1.44
    imet
    1.37
    mit
    1.33
    Activations Density 0.011%

    No Known Activations