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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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    Explanations

    mentions of suburban environments

    oai_token-act-pair · gpt-3.5-turbo

    references to suburban environments and lifestyles

    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
    cius
    -0.99
    gged
    -0.87
    heng
    -0.80
    uden
    -0.71
    uth
    -0.71
    uge
    -0.69
    hement
    -0.67
    Jr
    -0.67
    emis
    -0.67
    Lua
    -0.67
    POSITIVE LOGITS
    ites
    0.98
     malls
    0.88
     mall
    0.81
    ization
    0.79
    ized
    0.78
     suburb
    0.77
     dwell
    0.74
     suburbs
    0.71
     Borough
    0.71
     neighb
    0.70
    Activations Density 0.029%

    No Known Activations