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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. 1-RES-JB
    11. 2082
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    Explanations

    mentions of contractors involved in various projects or operations

    oai_token-act-pair · gpt-3.5-turbo

    references to contractors in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Detailed
    -0.80
    apo
    -0.76
    rams
    -0.76
    ews
    -0.75
    corn
    -0.74
    ml
    -0.74
     Calder
    -0.73
    western
    -0.72
    ãħĭ
    -0.71
    jiang
    -0.71
    POSITIVE LOGITS
     contractors
    1.39
     contractor
    1.37
     subcontract
    1.20
     contracted
    0.93
     contracting
    0.92
     laborers
    0.81
     servic
    0.80
     outsourcing
    0.78
     agre
    0.77
     contracts
    0.77
    Activations Density 0.013%

    No Known Activations