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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. 6-RES-JB
    11. 18767
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    Explanations

    words related to epic battles or conflicts

    oai_token-act-pair · gpt-3.5-turbo

    sentences that serve as concluding remarks or final thoughts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    lier
    -0.88
    liest
    -0.73
    ikuman
    -0.70
    uly
    -0.70
     acquaintance
    -0.69
    iman
    -0.68
    ãĤ¶
    -0.66
     biological
    -0.66
    lled
    -0.66
    weed
    -0.65
    POSITIVE LOGITS
     Additionally
    1.30
     Featuring
    1.27
     Highlights
    1.09
     Along
    1.06
     Serving
    1.04
     Includes
    1.02
     Furthermore
    1.00
     Each
    1.00
    eaturing
    0.99
     With
    0.99
    Activations Density 0.572%

    No Known Activations