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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. 17239
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    INDEX
    Explanations

    brand names and new product announcements

    oai_token-act-pair · gpt-3.5-turbo

    references to brands and new products

    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
    ulhu
    -0.77
    abama
    -0.73
    DAY
    -0.72
    cale
    -0.70
    tein
    -0.70
    SEE
    -0.66
    veyard
    -0.65
    isite
    -0.64
    nesota
    -0.63
     Pradesh
    -0.63
    POSITIVE LOGITS
    ishing
    1.16
    ished
    1.00
     loyalty
    1.00
    enburg
    0.98
    ishes
    0.97
    ages
    0.81
    new
    0.76
    eli
    0.73
    aging
    0.72
    isher
    0.71
    Activations Density 0.045%

    No Known Activations