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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. 6-RES-JB
    11. 20446
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    Explanations

    specific mentions of business locations

    oai_token-act-pair · gpt-3.5-turbo

    references to physical locations and the opening of new establishments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vernment
    -0.86
    gey
    -0.80
    vous
    -0.74
    ãģĦ
    -0.72
    ileged
    -0.72
    ogical
    -0.71
    rous
    -0.67
     ransom
    -0.66
    itivity
    -0.65
    itive
    -0.64
    POSITIVE LOGITS
     occupancy
    0.98
     leased
    0.95
     locations
    0.86
     operated
    0.84
     located
    0.84
     storefront
    0.81
     owned
    0.79
     premises
    0.77
     tenant
    0.76
     leasing
    0.76
    Activations Density 0.173%

    No Known Activations