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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. 0-RES-JB
    11. 1490
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    Explanations

    mentions of a specific Colombian author and a particular racing team

    oai_token-act-pair · gpt-3.5-turbo

    references to Colombia

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Mbps
    -0.82
     landslide
    -0.74
     thunder
    -0.69
     tsunami
    -0.68
     spa
    -0.67
     challengers
    -0.66
     Helsinki
    -0.66
     ultrasound
    -0.65
     bite
    -0.65
     RPM
    -0.65
    POSITIVE LOGITS
    Col
    3.90
    col
    2.21
    COL
    2.11
     Col
    1.99
     COL
    1.60
    Cola
    1.49
     col
    1.45
    Columb
    1.35
    Tex
    1.34
     Colon
    1.33
    Activations Density 0.015%

    No Known Activations