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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. 10-RES-JB
    11. 2294
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    Explanations

    large monetary values represented in millions

    oai_token-act-pair · gpt-3.5-turbo

    monetary values and financial figures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     honored
    -1.06
     favorably
    -0.95
     favored
    -0.95
     Neighborhood
    -0.93
     honoring
    -0.90
     organized
    -0.89
     favors
    -0.88
     favor
    -0.88
     labeled
    -0.84
     Hawai
    -0.84
    POSITIVE LOGITS
    £
    1.62
     £
    1.39
     metres
    1.21
    BBC
    1.16
    colour
    1.15
     metre
    1.14
    Labour
    1.12
    bn
    1.12
     Newcastle
    1.10
    NZ
    1.09
    Activations Density 0.243%

    No Known Activations