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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. 23384
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    Explanations

    mentions of geographical locations, focusing particularly on the state of Virginia

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the state of Virginia

    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
    kson
    -0.86
    ovie
    -0.86
    shi
    -0.79
    hift
    -0.78
    omo
    -0.77
    yg
    -0.73
    phant
    -0.73
    ological
    -0.70
    ocr
    -0.70
    bub
    -0.69
    POSITIVE LOGITS
     Beach
    1.34
     Tech
    1.20
     Commonwealth
    0.97
     Wool
    0.91
     Dare
    0.82
     Roads
    0.81
     Mayo
    0.80
     Virginia
    0.79
     Dull
    0.76
    ULTS
    0.75
    Activations Density 0.051%

    No Known Activations