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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. 7-RES-JB
    11. 11812
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    Explanations

    specific references to figures and subfigures in a scientific context

    oai_token-act-pair · gpt-3.5-turbo

    references to figures or illustrations in scientific documents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inventoryQuantity
    -0.78
    oaded
    -0.75
    etheless
    -0.62
     Unloaded
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    [/
    -0.61
    archment
    -0.61
     [/
    -0.60
    livious
    -0.60
    istors
    -0.59
    taboola
    -0.59
    POSITIVE LOGITS
     ).
    1.53
    ).
    1.48
    )."
    1.40
    .).
    1.35
     ),
    1.26
    ),
    1.25
    ?).
    1.22
    %).
    1.21
    )—
    1.20
    !).
    1.18
    Activations Density 0.121%

    No Known Activations