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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. 8-RES-JB
    11. 12381
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    Explanations

    phrases related to decision-making, political reforms, and influencing public opinion

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to decision-making and resource allocation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    >>>>>>>>
    -0.67
     Variant
    -0.62
     pity
    -0.61
     Siren
    -0.60
     Torrent
    -0.60
     cameo
    -0.59
     coincidence
    -0.57
     Marino
    -0.57
    epad
    -0.57
     Lap
    -0.57
    POSITIVE LOGITS
     efficiently
    0.81
     agendas
    0.79
     societal
    0.73
     Agenda
    0.72
     safely
    0.72
     enterprises
    0.71
     agenda
    0.71
     workplaces
    0.71
     decisions
    0.70
     effectively
    0.68
    Activations Density 0.916%

    No Known Activations