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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. 16384
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    Explanations

    phrases indicating specific tasks or responsibilities assigned to individuals or groups

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating responsibilities and roles within organizations

    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
    lass
    -0.84
    Sport
    -0.77
    nown
    -0.73
    Gi
    -0.73
    DragonMagazine
    -0.70
    cit
    -0.67
    NESS
    -0.65
    Mine
    -0.64
    ened
    -0.63
    SPONSORED
    -0.62
    POSITIVE LOGITS
     ensuring
    1.62
     maintaining
    1.60
     overseeing
    1.59
     preserving
    1.58
     protecting
    1.55
     restoring
    1.54
     enforcing
    1.51
     determining
    1.47
     implementing
    1.47
     creating
    1.45
    Activations Density 0.220%

    No Known Activations