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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. 2605
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    Explanations

    specific locations, particularly in Colorado

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the state of Colorado

    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
    htar
    -0.76
    ogi
    -0.74
    mith
    -0.73
    arial
    -0.65
    upper
    -0.64
    ariat
    -0.64
    objects
    -0.63
    ews
    -0.63
     Britann
    -0.63
    accompan
    -0.62
    POSITIVE LOGITS
     Springs
    1.95
     Rockies
    1.38
     Rapids
    1.34
     Avalanche
    1.14
     Colo
    1.09
     Boulder
    1.01
     River
    0.93
     Broncos
    0.90
     Mesa
    0.87
    ansas
    0.84
    Activations Density 0.038%

    No Known Activations