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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. 3-RES-JB
    11. 3716
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    Explanations

    words related to leisure activities or leisurely aspects

    oai_token-act-pair · gpt-3.5-turbo

    references to leisure activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inx
    -0.78
    imposed
    -0.74
    ars
    -0.71
    nikov
    -0.68
    arov
    -0.67
    oted
    -0.66
    opus
    -0.63
     Devils
    -0.62
    oded
    -0.61
    ramid
    -0.61
    POSITIVE LOGITS
    ly
    0.93
    isure
    0.90
     leisure
    0.84
     pursuits
    0.81
    bnb
    0.77
    ercise
    0.73
     jour
    0.72
     exerc
    0.71
     enrichment
    0.71
    entimes
    0.70
    Activations Density 0.012%

    No Known Activations