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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. 2-RES-JB
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    Explanations

    mentions related to suburban environments

    oai_token-act-pair · gpt-3.5-turbo

    mentions of suburban environments or settings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cius
    -1.01
    emis
    -0.80
    gged
    -0.80
    uden
    -0.78
    lua
    -0.77
    AW
    -0.73
    yer
    -0.72
    ñ
    -0.71
    OPA
    -0.71
    à¥
    -0.70
    POSITIVE LOGITS
     suburban
    0.91
     malls
    0.88
     mall
    0.83
    ites
    0.82
     commuter
    0.78
     suburb
    0.77
    ization
    0.74
     blot
    0.73
     dwell
    0.73
     suburbs
    0.72
    Activations Density 0.003%

    No Known Activations