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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. 1-RES-JB
    11. 21030
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    Explanations

    proper nouns or names related to governmental figures and economic terms

    oai_token-act-pair · gpt-3.5-turbo

    the word "vind" and references to economic slowdowns

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ²¾
    -0.85
    pec
    -0.82
    cular
    -0.75
     casc
    -0.74
    ansk
    -0.73
     shoppers
    -0.71
     Pigs
    -0.70
    ģ«
    -0.69
    Ĭ±
    -0.69
    cule
    -0.68
    POSITIVE LOGITS
     Kejriwal
    1.11
    vind
    1.04
    jriwal
    0.82
     Gandhi
    0.80
     Mandela
    0.80
    ictive
    0.78
    DragonMagazine
    0.77
    belt
    0.75
    sson
    0.75
    icators
    0.73
    Activations Density 0.011%

    No Known Activations