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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. 2-RES-JB
    11. 602
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    Explanations

    the word "bulk"

    oai_token-act-pair · gpt-4-turbo

    references to bulk quantities or actions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to bulk quantities or collections

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Children
    -0.72
     Officials
    -0.66
     Enemies
    -0.66
    ×Ļ×
    -0.66
     Possible
    -0.65
     Prosecutors
    -0.65
    Pri
    -0.64
     Judges
    -0.64
    endants
    -0.63
     Lawyers
    -0.63
    POSITIVE LOGITS
     bulk
    0.99
     omn
    0.79
    haul
    0.74
     quantities
    0.71
     shipment
    0.71
     bins
    0.71
    ascript
    0.70
     haul
    0.69
     shipments
    0.69
    gow
    0.69
    Activations Density 0.005%

    No Known Activations