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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
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    Explanations

    distances measured in miles

    oai_token-act-pair · gpt-3.5-turbo

    references to distances measured in miles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eer
    -0.81
    inse
    -0.77
    abulary
    -0.72
    ificial
    -0.67
    eers
    -0.67
    ãĥ¤
    -0.66
    enum
    -0.66
    pmwiki
    -0.66
     MFT
    -0.66
    icators
    -0.63
    POSITIVE LOGITS
     kilometers
    0.88
     miles
    0.87
     km
    0.84
     kilometres
    0.84
    km
    0.82
     Cheong
    0.81
     mile
    0.79
     traveled
    0.75
    bike
    0.75
     distance
    0.73
    Activations Density 0.014%

    No Known Activations