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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. 6302
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    INDEX
    Explanations

    mentions of activities or events involving people being watched or observed

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals and relationships within narratives

    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
    76561
    -0.83
    tml
    -0.81
    ItemTracker
    -0.75
    ãĤ¦ãĤ¹
    -0.74
    edIn
    -0.74
    lished
    -0.70
    foreseen
    -0.66
    ategory
    -0.65
    allas
    -0.64
    į
    -0.64
    POSITIVE LOGITS
     emerge
    1.39
     lose
    1.36
     stumble
    1.36
     crumble
    1.35
     explode
    1.34
     disappear
    1.30
     wrestle
    1.29
     suffer
    1.29
     vanish
    1.28
     fail
    1.26
    Activations Density 0.177%

    No Known Activations