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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
    11. 12830
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    Explanations

    mentions of a specific quantity of a product being made

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "batch" or "batches."

    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
    eur
    -0.77
    igion
    -0.65
    north
    -0.64
    ennis
    -0.61
    ifi
    -0.61
    phy
    -0.61
    =\"
    -0.60
     poles
    -0.60
     Violence
    -0.60
    neg
    -0.60
    POSITIVE LOGITS
     batch
    3.95
     batches
    2.91
    batch
    2.45
     crop
    1.37
     shipment
    1.23
     trove
    1.10
     iteration
    1.07
     sample
    1.00
     cohort
    0.99
     stockpile
    0.99
    Activations Density 0.013%

    No Known Activations