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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. 3860
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    Explanations

    locations or places

    oai_token-act-pair · gpt-3.5-turbo

    city names and locations

    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
    vich
    -0.85
    lihood
    -0.78
    orst
    -0.78
    ird
    -0.75
    hart
    -0.73
    acca
    -0.72
    vana
    -0.70
    arial
    -0.69
    aid
    -0.69
    ior
    -0.69
    POSITIVE LOGITS
     skyline
    0.89
     mayoral
    0.84
     Raleigh
    0.80
     Municip
    0.79
     mayor
    0.77
     ordinance
    0.77
     Municipal
    0.76
    urses
    0.74
     metro
    0.73
    £ı
    0.72
    Activations Density 0.021%

    No Known Activations