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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. 0-RES-JB
    6. 21806
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    Explanations

    references to the brand "Toys R Us"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of toys

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ombie
    -0.68
     ancestor
    -0.66
     intruder
    -0.65
    enary
    -0.64
     canonical
    -0.63
     pedigree
    -0.63
     eclipse
    -0.63
     launcher
    -0.62
    chal
    -0.61
    erver
    -0.60
    POSITIVE LOGITS
     Toys
    2.91
     Machines
    0.80
    BAT
    0.74
     Puzzles
    0.73
     Staples
    0.73
    zona
    0.73
     Unic
    0.70
     Warehouse
    0.69
     Pens
    0.69
    hov
    0.69
    Activations Density 0.004%

    No Known Activations