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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. 4-RES-JB
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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 @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ĪĴ
    -0.71
     soda
    -0.64
    atos
    -0.63
     dro
    -0.62
    nesia
    -0.62
     hereby
    -0.62
    cius
    -0.61
     sed
    -0.61
     diligently
    -0.60
     delinquent
    -0.60
    POSITIVE LOGITS
    acters
    0.90
     IMAGES
    0.79
     caption
    0.76
     Scenes
    0.74
     Misty
    0.73
     Provided
    0.73
    illian
    0.72
     Photograph
    0.72
     Murd
    0.71
     Fiona
    0.69
    Activations Density 0.007%

    No Known Activations