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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. 9-RES-JB
    11. 3028
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    Explanations

    locations or specific street names mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to specific street names or locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arian
    -0.78
    onom
    -0.76
    berman
    -0.75
    eer
    -0.75
    cause
    -0.73
    icter
    -0.72
    itious
    -0.68
    arious
    -0.68
    mingham
    -0.68
    ersion
    -0.67
    POSITIVE LOGITS
     Yards
    1.00
     Station
    0.99
     Corridor
    0.96
     NW
    0.96
     Plaza
    0.95
     Observatory
    0.91
     corridor
    0.90
     Avenue
    0.89
     Bridge
    0.89
     Subway
    0.88
    Activations Density 0.049%

    No Known Activations