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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. 16926
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to identifiers or codes used in programming or cataloging

    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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    Negative Logits
    20439
    -0.80
    ²¾
    -0.71
    \/\/
    -0.67
    angan
    -0.64
    iencies
    -0.63
    Downloadha
    -0.63
    Reloaded
    -0.63
     Parables
    -0.62
    acket
    -0.61
    DOC
    -0.61
    POSITIVE LOGITS
    LP
    0.64
    actionDate
    0.62
     Tul
    0.58
    )'
    0.58
    razil
    0.58
    mopolitan
    0.57
    cluding
    0.56
    ItemThumbnailImage
    0.55
     Balt
    0.55
    added
    0.54
    Activations Density 0.387%

    No Known Activations