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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. 5594
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    Explanations

    specific named geographic locations within the context of businesses or services

    oai_token-act-pair · gpt-3.5-turbo

    mentions of physical locations or facilities

    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
    izoph
    -0.76
    rous
    -0.73
    PUT
    -0.69
    gey
    -0.67
    sonian
    -0.67
     nostalgia
    -0.66
    cffffcc
    -0.66
     coma
    -0.65
    ãģĦ
    -0.63
    quel
    -0.63
    POSITIVE LOGITS
     nationwide
    1.19
     locations
    1.15
     located
    1.03
     operated
    1.02
     staffed
    0.98
     statewide
    0.98
    hare
    0.97
     leased
    0.96
     Locations
    0.95
     location
    0.94
    Activations Density 0.285%

    No Known Activations