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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. 3-RES-JB
    11. 15730
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    Explanations

    phrases related to large-scale events or actions

    oai_token-act-pair · gpt-3.5-turbo

    references to large-scale activities or phenomena

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ĪĴ
    -0.85
    hiro
    -0.73
    onen
    -0.69
    nee
    -0.69
    idges
    -0.69
    oras
    -0.68
    stitial
    -0.67
    obo
    -0.67
    hov
    -0.67
    olulu
    -0.67
    POSITIVE LOGITS
     replica
    0.91
     scale
    0.88
    scale
    0.86
     productions
    0.81
     fabrication
    0.76
    craft
    0.73
     production
    0.72
    itized
    0.69
     invari
    0.69
     failures
    0.68
    Activations Density 0.007%

    No Known Activations