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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
    11. 2942
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    Explanations

    proper nouns related to urban settings or urban development

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "Urban" and related terms

    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
    ãĤ´ãĥ³
    -0.82
    terday
    -0.76
    UTERS
    -0.74
    iris
    -0.73
    sembly
    -0.73
    76561
    -0.72
    utations
    -0.72
    BILITIES
    -0.71
    UNE
    -0.69
    utes
    -0.69
    POSITIVE LOGITS
     Decay
    0.93
     Dictionary
    0.93
     Meyer
    0.79
     Crime
    0.75
    idad
    0.74
    gebra
    0.74
     Affairs
    0.70
     Matters
    0.69
    icity
    0.69
     Urban
    0.68
    Activations Density 0.008%

    No Known Activations