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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. 15891
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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 @ 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
    Not in Any Lists

    No Comments

    Negative Logits
    lihood
    -0.71
    ibling
    -0.63
    alties
    -0.62
     scales
    -0.62
    walk
    -0.61
     coord
    -0.61
    iland
    -0.60
     distance
    -0.59
     pawn
    -0.58
    aimon
    -0.58
    POSITIVE LOGITS
    isode
    0.72
     newsletter
    0.70
     Newsletter
    0.68
    Newsletter
    0.66
    Balt
    0.65
    20439
    0.65
    vice
    0.62
    Beg
    0.59
    letters
    0.59
    ether
    0.59
    Activations Density 0.050%

    No Known Activations