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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. 2-RES-JB
    11. 5322
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    Explanations

    citations in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    references to numerical data or statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    spread
    -0.73
    ittle
    -0.70
    userc
    -0.66
    clad
    -0.61
    conservancy
    -0.60
     answering
    -0.59
    votes
    -0.58
    elong
    -0.58
     rooting
    -0.58
     conscious
    -0.58
    POSITIVE LOGITS
    ]
    1.05
    âĢ¦]
    1.01
    ])
    0.93
    ][
    0.92
    %]
    0.92
    -)
    0.90
    ]).
    0.89
    )
    0.85
    ],
    0.85
    :]
    0.85
    Activations Density 0.215%

    No Known Activations