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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 21000
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    oai_token-act-pair · gpt-3.5-turbo

    elements related to coding or programming syntax, particularly those used in web development or data manipulation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Petro
    -0.61
     pains
    -0.57
     Ying
    -0.57
     puzzling
    -0.56
     Shiv
    -0.56
     shedding
    -0.56
     Ripple
    -0.55
     stewards
    -0.55
     unveiling
    -0.54
     haw
    -0.54
    POSITIVE LOGITS
    ))
    2.51
    )))
    2.46
    )).
    2.40
    )),
    2.36
    )]
    2.34
    ))))
    2.26
    ])
    2.23
    ));
    2.18
    )].
    2.06
    ]).
    2.05
    Activations Density 0.104%

    No Known Activations