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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. 10328
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    Explanations

    references to ships or ship-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to ships or maritime vessels

    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
    âĶģ
    -0.83
    çīĪ
    -0.80
    aneously
    -0.63
     Aven
    -0.61
    okers
    -0.60
     Reggie
    -0.60
    gee
    -0.59
    ums
    -0.59
     Nuggets
    -0.58
     Rasm
    -0.58
    POSITIVE LOGITS
    wreck
    1.90
    yard
    1.49
    yards
    1.40
    wright
    1.29
    building
    1.19
     sailed
    1.13
    shape
    1.13
    builder
    1.11
    builders
    1.10
    mates
    1.07
    Activations Density 0.028%

    No Known Activations