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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. 6101
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    INDEX
    Explanations

    references to scale or quantitative measures

    oai_token-act-pair · gpt-3.5-turbo

    specific numerical data and references to databases

    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
     ."
    -1.01
    .''.
    -0.99
     guiName
    -0.92
    .�
    -0.83
    .</
    -0.76
     ".
    -0.76
    .(
    -0.66
    %.
    -0.65
    "/>
    -0.64
    Accessory
    -0.64
    POSITIVE LOGITS
    ),
    2.33
    !),
    2.17
    '),
    2.14
    ?),
    2.09
     ),
    2.04
    )),
    1.93
    ),"
    1.92
    "),
    1.91
    %),
    1.79
    ]),
    1.79
    Activations Density 0.316%

    No Known Activations