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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. 9-RES-JB
    11. 13382
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    Explanations

    words or phrases related to events or incidents happening in various locations outdoors

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "outside" and related context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    JV
    -0.85
    TEXT
    -0.80
    ãĥīãĥ©ãĤ´ãĥ³
    -0.78
    Introduced
    -0.78
    aucas
    -0.73
    iOS
    -0.73
    ppe
    -0.72
    information
    -0.72
    LP
    -0.72
    HTTP
    -0.71
    POSITIVE LOGITS
     courthouse
    1.02
     Parliament
    1.00
     parliament
    0.98
     Costco
    0.97
     Cafe
    0.97
     Downing
    0.96
     Starbucks
    0.95
     Embassy
    0.95
     Café
    0.95
     Macy
    0.93
    Activations Density 0.243%

    No Known Activations