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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. 6738
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    Explanations

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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 @ 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
     ancest
    -0.81
     digest
    -0.71
    Spider
    -0.69
     mix
    -0.69
     mut
    -0.66
     amph
    -0.66
     chuck
    -0.66
    dig
    -0.64
     doping
    -0.63
     coil
    -0.63
    POSITIVE LOGITS
     Resolution
    3.58
     resolutions
    1.19
     Responsibility
    1.11
     Reconstruction
    0.94
     Transparency
    0.88
     Sovere
    0.78
     Decision
    0.77
    resolution
    0.76
    olutions
    0.74
     Evening
    0.74
    Activations Density 0.032%

    No Known Activations