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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. 16452
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    Explanations

    financial and legal terms related to corruption and fraud

    oai_token-act-pair · gpt-3.5-turbo

    content related to political and social issues

    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
     scroll
    -0.75
     Lyon
    -0.74
    iku
    -0.72
     Scrolls
    -0.70
     Doors
    -0.70
     yours
    -0.70
     Rhythm
    -0.68
    stuff
    -0.67
     Leica
    -0.67
     aisle
    -0.67
    POSITIVE LOGITS
     abhor
    0.90
     knowingly
    0.88
     undermined
    0.87
     jeopard
    0.86
     incapable
    0.85
     opposes
    0.84
    Repe
    0.84
     esche
    0.83
     lacked
    0.83
     unlawfully
    0.83
    Activations Density 0.328%

    No Known Activations