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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
    11. 2627
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    Explanations

    references to transportation hubs or locations in a city

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific location or facility named "station."

    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
    STEM
    -0.69
     Marketable
    -0.67
    IGHTS
    -0.65
    ojure
    -0.63
    ":"/
    -0.63
     nerv
    -0.62
    issance
    -0.62
    usalem
    -0.62
    iferation
    -0.62
    erenn
    -0.62
    POSITIVE LOGITS
     wagon
    1.07
    ery
    0.96
     station
    0.90
     stations
    0.88
    wagon
    0.86
    ation
    0.79
    pole
    0.78
     attendant
    0.78
    arity
    0.77
     Station
    0.76
    Activations Density 0.026%

    No Known Activations