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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

    instances of the word "mon" followed by a specific number

    oai_token-act-pair · gpt-3.5-turbo

    words related to monetary topics

    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
     Wee
    -0.69
     Aus
    -0.66
     SA
    -0.66
     skate
    -0.65
     forging
    -0.63
     Shane
    -0.62
     SAP
    -0.62
     GOT
    -0.62
     Pist
    -0.62
     sweating
    -0.61
    POSITIVE LOGITS
    mon
    4.51
    mons
    2.30
    MON
    2.14
    Mon
    1.91
    mony
    1.91
     Mon
    1.42
    mond
    1.39
    mo
    1.36
    mar
    1.34
     mon
    1.34
    Activations Density 0.007%

    No Known Activations