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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. 23980
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    INDEX
    Explanations

    numerical ranges related to quantities of people or objects

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating numerical ranges or estimates

    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
    calling
    -0.64
    aign
    -0.62
    ById
    -0.61
    RF
    -0.57
    hemat
    -0.57
    creation
    -0.57
    raising
    -0.56
     millenn
    -0.55
    birds
    -0.54
    vir
    -0.53
    POSITIVE LOGITS
    ggles
    1.12
    pless
    1.00
    pload
    0.92
    ppers
    0.85
    asted
    0.84
    kes
    0.80
    lling
    0.79
     compensate
    0.77
    mes
    0.75
    pping
    0.75
    Activations Density 0.050%

    No Known Activations