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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. 4008
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    Explanations

    terms related to transportation, specifically emphasizing the word "shuttle"

    oai_token-act-pair · gpt-3.5-turbo

    references to shuttle services and related terms

    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
    ertodd
    -0.74
    ilib
    -0.72
    uria
    -0.71
     confir
    -0.70
    querque
    -0.69
    onz
    -0.66
    nesota
    -0.65
    rahim
    -0.65
    atana
    -0.65
    cius
    -0.64
    POSITIVE LOGITS
     Challenger
    0.82
    bay
    0.79
    craft
    0.77
    crow
    0.76
     shuttle
    0.74
    agic
    0.73
    gate
    0.71
     Cruise
    0.70
    pod
    0.70
    zee
    0.68
    Activations Density 0.038%

    No Known Activations