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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. 1-RES-JB
    11. 13458
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    Explanations

    references to a specific public transportation service named "Metro" and locations or events associated with it

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the term "Metro" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ensed
    -0.80
    ivia
    -0.72
    omever
    -0.71
    uracy
    -0.71
     htt
    -0.70
    ensing
    -0.69
    ^^^^
    -0.69
    owship
    -0.69
     attm
    -0.67
    aphael
    -0.67
    POSITIVE LOGITS
     Manila
    0.90
    jet
    0.87
     Metro
    0.82
    plex
    0.81
    Metro
    0.77
     Transit
    0.73
     parks
    0.70
    PC
    0.69
     Scotia
    0.68
    econom
    0.68
    Activations Density 0.006%

    No Known Activations