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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. 6-RES-JB
    11. 18811
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    Explanations

    phrases containing the word "run" connected with various contexts like sports, elections, and events

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to electoral processes and their associated events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Marketable
    -0.70
     Flavoring
    -0.66
     Richards
    -0.65
     Hale
    -0.63
     Cind
    -0.62
     Rica
    -0.62
     Hughes
    -0.61
     Flask
    -0.61
    å°Ĩ
    -0.60
    ensis
    -0.60
    POSITIVE LOGITS
    operated
    1.02
    ball
    1.00
    based
    0.99
    cycle
    0.98
    length
    0.95
    starting
    0.95
    testing
    0.95
    centric
    0.92
    time
    0.91
    tun
    0.91
    Activations Density 0.108%

    No Known Activations