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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. 11-RES-JB
    11. 10838
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    Explanations

    numbers indicating quantities or amounts of something

    oai_token-act-pair · gpt-3.5-turbo

    numerical values or data related to quantities and periods

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    amaru
    -0.71
    fan
    -0.67
    sama
    -0.60
    mma
    -0.60
    ibel
    -0.59
    âĶĢâĶĢâĶĢâĶĢ
    -0.59
    enemy
    -0.59
    Redditor
    -0.59
    ffen
    -0.58
     Rept
    -0.58
    POSITIVE LOGITS
     years
    1.52
     months
    1.37
     seasons
    1.27
     consecutive
    1.24
     periods
    1.20
     decades
    1.18
     phases
    1.14
     quarters
    1.14
     successive
    1.13
     weeks
    1.12
    Activations Density 0.107%

    No Known Activations