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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. 9-RES-JB
    11. 2862
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    INDEX
    Explanations

    proper nouns related to individuals, characters, and organizations in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    named entities such as movies, teams, and individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etheless
    -0.85
     glim
    -0.78
     guiName
    -0.78
    âĶĢâĶĢâĶĢâĶĢ
    -0.64
     tyr
    -0.63
    inventoryQuantity
    -0.61
    profits
    -0.61
    Accessory
    -0.60
    ²¾
    -0.58
     suspic
    -0.58
    POSITIVE LOGITS
    )
    2.15
    ),
    2.13
    )"
    1.95
    )'
    1.94
    ),"
    1.93
    )?
    1.91
    )",
    1.91
    ).
    1.90
    )."
    1.84
    )—
    1.83
    Activations Density 0.438%

    No Known Activations