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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. 9-RES-JB
    11. 16267
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    Explanations

    dates in January combined with specific numeric values, such as day numbers

    oai_token-act-pair · gpt-3.5-turbo

    dates and times related to social media posts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Soda
    -0.95
     Takeru
    -0.86
     sarc
    -0.84
     Chic
    -0.82
     Chaser
    -0.79
     Sid
    -0.76
     sage
    -0.75
     Sas
    -0.75
     soda
    -0.73
     Sax
    -0.73
    POSITIVE LOGITS
    2017
    1.32
     2017
    1.18
    roy
    0.78
    17
    0.78
    ivities
    0.76
    2018
    0.75
    ily
    0.75
    function
    0.74
    vier
    0.74
    NW
    0.73
    Activations Density 0.155%

    No Known Activations