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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. 4-RES-JB
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    Explanations

    mentions of minimum wage policy

    oai_token-act-pair · gpt-3.5-turbo

    references to minimum wage

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

    No Comments

    Negative Logits
    NetMessage
    -0.85
    ullivan
    -0.79
    rosso
    -0.77
    ioned
    -0.74
    姫
    -0.72
    20439
    -0.72
    Interstitial
    -0.72
    obyl
    -0.72
    ION
    -0.71
    IE
    -0.69
    POSITIVE LOGITS
     earners
    1.28
    wage
    0.97
     wage
    0.88
     labou
    0.82
     garn
    0.78
     labour
    0.78
     laborers
    0.76
     multiplier
    0.76
     labor
    0.75
     hike
    0.74
    Activations Density 0.008%

    No Known Activations