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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. 3-RES-JB
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    Explanations

    mentions or references to the state of Vermont

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Vermont

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ept
    -0.80
    omaly
    -0.79
    ogly
    -0.76
    vantage
    -0.76
    earance
    -0.75
    undai
    -0.75
    ospace
    -0.75
    otropic
    -0.74
    visual
    -0.73
    andr
    -0.73
    POSITIVE LOGITS
     Burlington
    0.97
     Vermont
    0.96
     Yankee
    0.94
     Sanders
    0.92
    Leaks
    0.82
     VT
    0.78
     Rapids
    0.77
     Beach
    0.76
     Eag
    0.74
     Crossing
    0.74
    Activations Density 0.008%

    No Known Activations