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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. 6-RES-JB
    11. 2737
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    Explanations

    descriptions related to physical attributes or locations, such as heights, buildings, or items found in specific places

    oai_token-act-pair · gpt-3.5-turbo

    references to measurements or quantities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    7601
    -0.51
    ãĤ§
    -0.48
    minist
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     USPS
    -0.46
    terness
    -0.46
    ewitness
    -0.44
     Copyright
    -0.44
     guiActiveUn
    -0.44
    htaking
    -0.44
     BALL
    -0.44
    POSITIVE LOGITS
     respectively
    0.74
    iliary
    0.55
     TAMADRA
    0.54
    .''.
    0.53
     mosqu
    0.52
     supplemented
    0.50
    ).[
    0.50
    +.
    0.48
    *.
    0.48
    .
    0.48
    Activations Density 1.395%

    No Known Activations