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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. 7-RES-JB
    6. 15603
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    Explanations

    monthly occurrences or events

    oai_token-act-pair · gpt-3.5-turbo

    references to recurring monthly activities or expenses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    wright
    -0.88
    lda
    -0.87
    phal
    -0.84
    anamo
    -0.83
    holes
    -0.82
    artisan
    -0.78
    enes
    -0.78
    rar
    -0.75
     Rousse
    -0.75
    liga
    -0.74
    POSITIVE LOGITS
     installments
    1.01
     occurrence
    0.93
     subscriptions
    0.90
     upkeep
    0.88
    ized
    0.88
     subscription
    0.87
     recurring
    0.84
     pickups
    0.83
     specials
    0.83
     payments
    0.82
    Activations Density 0.045%

    No Known Activations