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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. 12534
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    Explanations

    words related to location, specifically different levels or areas of a building

    oai_token-act-pair · gpt-3.5-turbo

    references to locations or settings in a narrative

    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
    itar
    -0.89
    itarian
    -0.72
    ger
    -0.72
    iom
    -0.72
    cks
    -0.70
    gered
    -0.69
    ppe
    -0.67
    ouf
    -0.66
    ck
    -0.66
    nce
    -0.65
    POSITIVE LOGITS
    stairs
    1.18
     adolesc
    0.83
     downstairs
    0.81
    eatures
    0.79
     behavi
    0.77
     upstairs
    0.77
    ¥ŀ
    0.75
    comings
    0.75
    inburgh
    0.74
    bledon
    0.74
    Activations Density 0.044%

    No Known Activations