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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. 8-RES-JB
    11. 8461
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    Explanations

    information related to local events, specifically about building collapses and property issues

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating structural incidents or events related to buildings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     analys
    -0.99
     analysed
    -0.92
     analyse
    -0.87
     epist
    -0.78
     maths
    -0.75
     fulfil
    -0.73
     Jinping
    -0.72
     pse
    -0.71
     interrogated
    -0.71
     scept
    -0.69
    POSITIVE LOGITS
     statewide
    1.05
    Residents
    1.03
     COUNTY
    1.03
     signage
    1.02
     Downtown
    1.01
    unicip
    1.00
     homeowner
    1.00
     downtown
    0.98
     homeowners
    0.98
     landsc
    0.95
    Activations Density 2.097%

    No Known Activations