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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. 3-RES-JB
    11. 18049
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    INDEX
    Explanations

    numbers related to rankings or quantities

    oai_token-act-pair · gpt-3.5-turbo

    references to the number 50 in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ller
    -0.85
    hunt
    -0.79
     Rivals
    -0.67
    ovie
    -0.66
     teased
    -0.66
    llers
    -0.66
    senal
    -0.65
    kell
    -0.65
     repr
    -0.62
     vain
    -0.62
    POSITIVE LOGITS
     Shades
    1.15
    %-
    1.03
    %"
    1.00
    ¢
    0.97
     cents
    0.95
    percent
    0.95
    Percent
    0.94
    ishers
    0.93
    %;
    0.91
    %
    0.91
    Activations Density 0.033%

    No Known Activations