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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. 0-RES-JB
    11. 6729
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    Explanations

    technical terms related to image reconstruction and processing

    oai_token-act-pair · gpt-3.5-turbo

    terms related to reconstruction and recreating

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    stakes
    -0.92
    ickle
    -0.81
     perks
    -0.78
    qual
    -0.72
     Hungry
    -0.71
    Limit
    -0.68
    bies
    -0.66
    elle
    -0.66
     Nug
    -0.66
    btn
    -0.66
    POSITIVE LOGITS
     reconstruction
    3.73
     reconstruct
    3.45
     reconstructed
    2.87
     Reconstruction
    2.27
     rebuilt
    1.54
     rebuilding
    1.50
     rebuild
    1.49
     recreate
    1.22
     improvised
    1.17
     rehabilitation
    1.16
    Activations Density 0.037%

    No Known Activations