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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. 7579
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    Explanations

    specific time and temperature values

    oai_token-act-pair · gpt-3.5-turbo

    time-related information and measurements

    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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    Negative Logits
    minist
    -0.75
    Newsletter
    -0.68
    aston
    -0.67
    then
    -0.67
    opol
    -0.65
    gdala
    -0.65
    anan
    -0.64
    ._
    -0.64
    pled
    -0.63
    things
    -0.63
    POSITIVE LOGITS
     VAT
    0.73
     Shogun
    0.67
     IST
    0.62
     kW
    0.61
     GMT
    0.60
     GDP
    0.59
     twist
    0.58
     Texture
    0.57
     Titan
    0.57
     Saturn
    0.56
    Activations Density 0.211%

    No Known Activations