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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. 6-RES-JB
    11. 2769
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    Explanations

    terms related to logistics and operations management

    oai_token-act-pair · gpt-3.5-turbo

    terms related to logistics and supply chain management

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ews
    -0.77
    nered
    -0.75
    enment
    -0.67
    arma
    -0.66
     Eisen
    -0.66
    eeper
    -0.65
    lished
    -0.64
    artz
    -0.63
    este
    -0.63
    ippery
    -0.63
    POSITIVE LOGITS
     logistics
    1.31
     logistical
    0.98
     planners
    0.81
     hub
    0.78
     management
    0.78
     hubs
    0.75
     planner
    0.75
     fulfillment
    0.74
     operations
    0.74
     dispatch
    0.74
    Activations Density 0.037%

    No Known Activations