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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. 1-RES-JB
    11. 4996
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    Explanations

    references to grassroots movements or organizations

    oai_token-act-pair · gpt-3.5-turbo

    references to grassroots movements and organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    awed
    -0.70
    uncle
    -0.70
    ama
    -0.69
    stocks
    -0.68
     Kinnikuman
    -0.68
    ulia
    -0.66
    ivia
    -0.65
    othy
    -0.65
    gran
    -0.64
    alities
    -0.63
    POSITIVE LOGITS
     grassroots
    1.09
    roots
    0.82
     entreprene
    0.80
     outreach
    0.79
     activism
    0.77
     organising
    0.76
     millenn
    0.75
     volunt
    0.74
    soDeliveryDate
    0.74
     movement
    0.73
    Activations Density 0.004%

    No Known Activations