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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. 9673
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    Explanations

    words with character encoding anomalies

    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 @ 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
    Not in Any Lists

    No Comments

    Negative Logits
    hement
    -0.75
     margins
    -0.72
     amput
    -0.67
     posit
    -0.66
     acknow
    -0.66
     habits
    -0.66
     inward
    -0.65
     outwe
    -0.65
    iating
    -0.64
    aved
    -0.64
    POSITIVE LOGITS
    Premium
    1.09
    Legendary
    0.92
    ================================================================
    0.92
    Offline
    0.90
    Adapt
    0.89
     Cosponsors
    0.79
     Suite
    0.79
    ¯¯¯¯¯¯¯¯
    0.78
     Reloaded
    0.77
    Adapter
    0.77
    Activations Density 0.210%

    No Known Activations