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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. 10-RES-JB
    11. 23360
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    INDEX
    Explanations

    descriptions of urban areas and neighborhoods

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to urban development and city characteristics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Immunity
    -0.84
    nat
    -0.83
     Accuracy
    -0.78
    Reference
    -0.77
    Lua
    -0.77
     Canaver
    -0.76
    RF
    -0.75
    witch
    -0.75
     Instruments
    -0.74
     awa
    -0.74
    POSITIVE LOGITS
     suburbs
    1.85
     neighborhoods
    1.81
     urban
    1.69
     downtown
    1.68
     suburb
    1.68
     suburban
    1.64
     cities
    1.59
     malls
    1.56
     neighbourhoods
    1.56
     skysc
    1.53
    Activations Density 0.660%

    No Known Activations