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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
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    Explanations

    mentions of specific metropolitan areas

    oai_token-act-pair · gpt-3.5-turbo

    references to metropolitan areas and related terminology

    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
    arin
    -0.83
    Dialogue
    -0.78
    IENT
    -0.74
    TD
    -0.72
    Reply
    -0.69
    TPPStreamerBot
    -0.69
    eous
    -0.68
    oti
    -0.68
    IGHTS
    -0.67
    gren
    -0.67
    POSITIVE LOGITS
     metropolitan
    0.98
     metro
    0.95
     area
    0.95
    ropolitan
    0.89
     tracts
    0.85
    ãĥ³ãĤ¸
    0.79
     workforce
    0.78
     elector
    0.75
     commuter
    0.73
     traveller
    0.72
    Activations Density 0.006%

    No Known Activations