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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. 9-RES-JB
    11. 17793
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    Explanations

    phrases related to picking up or being picked up

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the concept of "pickup" or collections

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    croft
    -0.91
     Woods
    -0.70
     Hole
    -0.66
    ve
    -0.65
     restruct
    -0.64
    split
    -0.63
    phas
    -0.62
    oly
    -0.62
    jah
    -0.62
    gh
    -0.61
    POSITIVE LOGITS
     trucks
    0.97
    dates
    0.81
     hitch
    0.81
    ruck
    0.78
     litter
    0.77
     truck
    0.77
    loads
    0.76
    uggage
    0.74
    ainers
    0.73
    aturdays
    0.73
    Activations Density 0.088%

    No Known Activations