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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 4-RES-JB
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    Explanations

    references to a specific location, "Metropolitan"

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "Metropolitan" and its variations

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

    No Comments

    Negative Logits
    fty
    -0.86
    cius
    -0.75
    enes
    -0.75
    standing
    -0.73
    vous
    -0.70
    \\\\\\\\
    -0.69
    pport
    -0.68
    hops
    -0.68
    oward
    -0.68
    eners
    -0.68
    POSITIVE LOGITS
    ropolitan
    1.05
     Metropolitan
    0.94
     Statistical
    0.92
     Borough
    0.89
     Transportation
    0.82
     EntityItem
    0.82
     Transit
    0.81
     Improvement
    0.79
     District
    0.78
     Regional
    0.78
    Activations Density 0.003%

    No Known Activations