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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 6585
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    Explanations

    words related to luggage and bags

    oai_token-act-pair · gpt-3.5-turbo

    references to luggage and bags

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    adal
    -0.85
    ode
    -0.73
    oshenko
    -0.72
    odic
    -0.71
    mpeg
    -0.71
     guiActiveUn
    -0.70
    thro
    -0.70
     Cosponsors
    -0.67
    inic
    -0.63
    ificial
    -0.63
    POSITIVE LOGITS
     luggage
    1.00
     suitcase
    1.00
    cases
    0.94
    uggage
    0.92
     compartment
    0.92
    Accessory
    0.89
     belongings
    0.87
     bags
    0.85
     containers
    0.83
     stuffed
    0.81
    Activations Density 0.042%

    No Known Activations