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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 16674
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    INDEX
    Explanations

    descriptions of where individuals grew up, focusing specifically on the location

    oai_token-act-pair · gpt-3.5-turbo

    phrases about growing up in various locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    apply
    -0.72
    aptic
    -0.71
     application
    -0.70
     applic
    -0.69
    imen
    -0.68
    kill
    -0.68
    affer
    -0.68
    vre
    -0.68
    stroke
    -0.65
     applications
    -0.65
    POSITIVE LOGITS
     Lauder
    0.84
     Wichita
    0.83
     Kamp
    0.74
     Daytona
    0.74
     Ruins
    0.73
     Farming
    0.72
     Democr
    0.71
     Contra
    0.71
     Vog
    0.71
     Corona
    0.70
    Activations Density 0.098%

    No Known Activations