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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. 1600
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    Explanations

    phrases related to specific geographical locations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of significant cities and events related to environmental issues and cultural references

    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
    sheet
    -0.81
    iday
    -0.73
    beit
    -0.67
    graded
    -0.66
    ivid
    -0.66
    terday
    -0.65
    ttle
    -0.63
    ownt
    -0.62
    ÑĮ
    -0.62
    bow
    -0.62
    POSITIVE LOGITS
     Copenhagen
    0.93
     Kyoto
    0.86
     Lumpur
    0.82
     Osaka
    0.81
     Takeru
    0.77
     Kobe
    0.77
     Hiroshima
    0.75
     Fuk
    0.75
     Lisbon
    0.72
     Rwanda
    0.71
    Activations Density 0.024%

    No Known Activations