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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. 8-RES-JB
    11. 7174
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    Explanations

    references to measurements of altitude, speed, distance, and capacity

    oai_token-act-pair · gpt-3.5-turbo

    numeric values related to measurements of distance and quantity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    odox
    -0.70
    ĸļ
    -0.66
    FFER
    -0.64
    umper
    -0.63
     scrut
    -0.63
    pty
    -0.62
    forth
    -0.60
     vulner
    -0.60
    kefeller
    -0.59
     Skydragon
    -0.59
    POSITIVE LOGITS
     lbs
    0.75
    abytes
    0.73
     annually
    0.72
     pounds
    0.72
    lbs
    0.65
     worldwide
    0.64
    âĦ¢
    0.64
    MSN
    0.64
     Estimated
    0.63
    embed
    0.63
    Activations Density 0.243%

    No Known Activations