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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. 8-RES-JB
    11. 23634
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    Explanations

    words related to the retail giant Wal-Mart

    oai_token-act-pair · gpt-3.5-turbo

    references to Wal-Mart

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     distraction
    -0.69
     distracting
    -0.66
     intel
    -0.63
     menace
    -0.61
     assist
    -0.60
     Nunes
    -0.60
    heric
    -0.60
     Dickinson
    -0.60
     advers
    -0.60
     flattering
    -0.59
    POSITIVE LOGITS
    Mart
    0.99
    street
    0.85
    Street
    0.77
     Stores
    0.75
    Baltimore
    0.74
    mart
    0.73
    opoly
    0.73
    School
    0.73
    school
    0.72
    King
    0.71
    Activations Density 0.041%

    No Known Activations