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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. 3661
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    Explanations

    terms related to organizing and managing operations and resources, specifically focusing on the logistical aspects

    oai_token-act-pair · gpt-3.5-turbo

    terms related to logistics and operational management

    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
    ews
    -0.86
    --+
    -0.69
    boards
    -0.68
    enment
    -0.67
    Interstitial
    -0.65
    Rated
    -0.64
    Examples
    -0.64
    asts
    -0.63
    RAY
    -0.63
     Ki
    -0.62
    POSITIVE LOGITS
     logistics
    1.46
     logistical
    1.05
     courier
    0.84
     guiActiveUn
    0.77
     facilit
    0.76
     planner
    0.75
     arrangements
    0.73
     conflic
    0.73
     arrang
    0.73
     impossibility
    0.73
    Activations Density 0.008%

    No Known Activations