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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. 10-RES-JB
    11. 1335
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    INDEX
    Explanations

    references to measurements, particularly involving numbers like 35, 36, and percentages

    oai_token-act-pair · gpt-3.5-turbo

    numerical values related to time and measurements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Payton
    -0.73
    urred
    -0.66
    akening
    -0.63
    prise
    -0.61
    hare
    -0.59
    imaru
    -0.59
    ifiable
    -0.59
    ItemTracker
    -0.59
    imation
    -0.58
    atism
    -0.58
    POSITIVE LOGITS
    00
    1.64
    mm
    0.95
    50
    0.94
    rd
    0.92
    01
    0.90
    °
    0.89
    th
    0.86
    %
    0.86
    MM
    0.85
    40
    0.84
    Activations Density 0.090%

    No Known Activations