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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. 14814
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    INDEX
    Explanations

    information related to various individuals or entities along with specific years or roles associated with them

    oai_token-act-pair · gpt-3.5-turbo

    specific structured data or statistics related to various topics like movies, elements, or sport player rankings

    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
    .}
    -0.98
    conservancy
    -0.86
    !).
    -0.85
    informed
    -0.81
    ilogy
    -0.79
    !]
    -0.78
    âĢ¦]
    -0.77
    .ãĢį
    -0.77
    .")
    -0.77
    .]
    -0.75
    POSITIVE LOGITS
     None
    1.18
     âĵĺ
    1.16
     Unknown
    1.11
     Yes
    1.10
     Unsure
    1.02
     Various
    1.01
     âľĵ
    1.01
     Miscellaneous
    1.00
     Description
    1.00
     Introduced
    0.97
    Activations Density 0.350%

    No Known Activations