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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. 1-RES-JB
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    Explanations

    words related to geographic locations or regions, specifically a place called "Lone Star State" along with a cowboy theme

    oai_token-act-pair · gpt-3.5-turbo

    references to the state of Texas, specifically the term "Lone Star" and related concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lished
    -1.00
    ulating
    -0.87
    ulates
    -0.83
    lain
    -0.82
    ult
    -0.78
    ulated
    -0.78
    ULT
    -0.77
    armac
    -0.77
    ulators
    -0.76
    andal
    -0.74
    POSITIVE LOGITS
     Lone
    1.11
     Cowboy
    0.94
     Ranger
    0.89
     Drill
    0.83
     Wolf
    0.81
    \\\\\\\\
    0.81
     Tree
    0.81
     Pione
    0.80
     Tex
    0.78
     Generations
    0.77
    Activations Density 0.016%

    No Known Activations