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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. 2-RES-JB
    11. 8372
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    Explanations

    references to a specific name or term, "Aggie."

    oai_token-act-pair · gpt-3.5-turbo

    references to the "Aggies" or topics related to Texas A&M University

    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
    phrine
    -0.87
    ãĤ´ãĥ³
    -0.83
    çīĪ
    -0.75
    HCR
    -0.72
    代
    -0.72
     sights
    -0.70
     Glover
    -0.70
     coffin
    -0.70
    perature
    -0.67
    FORE
    -0.67
    POSITIVE LOGITS
    regate
    1.31
    Agg
    1.18
    rieved
    1.08
    ressive
    1.04
    ressor
    0.94
    irlf
    0.92
    raph
    0.90
     Agg
    0.90
    regation
    0.89
    ression
    0.87
    Activations Density 0.008%

    No Known Activations