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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
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    Explanations

    mentions of corruption and corrupt individuals

    oai_token-act-pair · gpt-3.5-turbo

    references to corruption in various contexts

    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
     mast
    -0.79
    Kit
    -0.75
    imeter
    -0.74
     gauge
    -0.71
    helle
    -0.71
     Kahn
    -0.70
    ighter
    -0.70
    stay
    -0.69
     measurements
    -0.69
    imeters
    -0.69
    POSITIVE LOGITS
     corrupt
    3.80
     corrupted
    2.63
     corruption
    2.16
     Corruption
    1.78
     crooked
    1.71
     tainted
    1.67
    corruption
    1.60
     corro
    1.54
     dishonest
    1.49
     corros
    1.48
    Activations Density 0.022%

    No Known Activations