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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. 23898
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    Explanations

    references to a particular news agency, "Associated Press"

    oai_token-act-pair · gpt-3.5-turbo

    references to the Associated Press

    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
    orously
    -0.92
    gone
    -0.90
    wagen
    -0.80
    tty
    -0.75
    ysis
    -0.73
    ggle
    -0.72
    fully
    -0.71
    enegger
    -0.71
    gy
    -0.69
    uble
    -0.69
    POSITIVE LOGITS
     Newsp
    0.92
     Press
    0.89
     Arbit
    0.87
     States
    0.86
     Colleg
    0.83
    States
    0.75
     Tribune
    0.74
    Group
    0.73
    Choice
    0.73
     Journals
    0.71
    Activations Density 0.016%

    No Known Activations