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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. 7-RES-JB
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    references to the state of Colorado

    oai_token-act-pair · gpt-3.5-turbo

    references to 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 @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ogi
    -0.79
    htar
    -0.77
    cgi
    -0.74
    doms
    -0.68
    arial
    -0.68
    accompan
    -0.68
    mith
    -0.68
    ariat
    -0.67
    objects
    -0.67
     fasc
    -0.63
    POSITIVE LOGITS
     Springs
    1.89
     Rockies
    1.33
     Rapids
    1.33
     Avalanche
    1.09
     Colo
    1.05
     Boulder
    0.97
     River
    0.89
     Mesa
    0.88
     Broncos
    0.87
     Mountain
    0.77
    Activations Density 0.032%

    No Known Activations