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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. 11-RES-JB
    11. 1616
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    Explanations

    content related to political ideologies and propaganda

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to manipulation and propaganda

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cus
    -0.85
    Depth
    -0.83
    NER
    -0.80
    BILITY
    -0.78
     Bulk
    -0.76
     Pwr
    -0.76
     Grassley
    -0.74
    Sensor
    -0.74
    ymm
    -0.73
    --+
    -0.72
    POSITIVE LOGITS
     propaganda
    1.61
     cartoons
    1.57
     films
    1.53
     slogans
    1.52
     documentaries
    1.49
     movies
    1.43
     depictions
    1.43
     speeches
    1.41
     exhibitions
    1.36
     caric
    1.36
    Activations Density 0.684%

    No Known Activations