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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. 22863
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    oai_token-act-pair · gpt-3.5-turbo

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    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
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    No Comments

    Negative Logits
    natureconservancy
    -0.79
    ournal
    -0.64
     acron
    -0.62
    joice
    -0.62
    inventoryQuantity
    -0.61
     Barcl
    -0.61
     Fal
    -0.60
     Surviv
    -0.59
     paran
    -0.59
    ilant
    -0.58
    POSITIVE LOGITS
    _
    1.87
    _-_
    1.53
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    1.50
    _(
    1.47
    _.
    1.30
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    1.29
    ._
    1.09
    ()
    1.08
    ():
    1.00
    _-
    0.93
    Activations Density 0.094%

    No Known Activations