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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. 3-RES-JB
    11. 3434
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    INDEX
    Explanations

    numerical mentions organized with a specific pattern

    oai_token-act-pair · gpt-3.5-turbo

    numerical values associated with significant concepts or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     hog
    -0.77
    conservancy
    -0.70
    userc
    -0.67
    onna
    -0.65
     guiName
    -0.64
    ittle
    -0.63
    aturday
    -0.62
     Profession
    -0.62
    door
    -0.62
    awaru
    -0.62
    POSITIVE LOGITS
    ]
    0.99
    ][
    0.94
    651
    0.83
    ]).
    0.80
    64
    0.80
    ])
    0.80
    649
    0.78
    JC
    0.78
    32
    0.78
    âĢ¦]
    0.78
    Activations Density 0.102%

    No Known Activations