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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. 17507
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    Explanations

    words related to problems and challenges

    oai_token-act-pair · gpt-3.5-turbo

    words related to accompanying changes or experiences

    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
    loo
    -0.84
    swick
    -0.74
    Pak
    -0.73
     huh
    -0.71
    quickShipAvailable
    -0.68
    ileaks
    -0.68
    bell
    -0.66
    ovy
    -0.66
    oiler
    -0.66
    inem
    -0.66
    POSITIVE LOGITS
     modern
    0.90
     such
    0.87
     successive
    0.84
     contemporary
    0.80
     ordinary
    0.79
     these
    0.78
     each
    0.77
     every
    0.73
     everyday
    0.70
     traditional
    0.68
    Activations Density 0.387%

    No Known Activations