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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. 4-RES-JB
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    Explanations

    references to the public transportation system "Metro" in various cities

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the term "Metro" in various contexts related to urban transit systems or entities

    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
     Qiao
    -0.79
    ivia
    -0.78
    \\\\\\\\
    -0.78
    ãĥł
    -0.77
    uracy
    -0.74
    isted
    -0.73
    %%%%
    -0.73
    omever
    -0.73
    emption
    -0.72
    oward
    -0.71
    POSITIVE LOGITS
    plex
    1.05
     Manila
    0.91
     Transit
    0.86
    jet
    0.85
     Rail
    0.80
    biology
    0.77
    Rail
    0.76
    Health
    0.76
    PC
    0.75
     Areas
    0.74
    Activations Density 0.008%

    No Known Activations