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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. 9-RES-JB
    11. 8839
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    Explanations

    numbers related to measurements or values

    oai_token-act-pair · gpt-3.5-turbo

    quantities and specific numerical data related to measurements or statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     snowball
    -0.60
     comprom
    -0.57
     marsh
    -0.55
    wcs
    -0.53
     proverb
    -0.51
     sher
    -0.51
     sle
    -0.51
     guiName
    -0.50
     sponge
    -0.50
     PUBLIC
    -0.49
    POSITIVE LOGITS
    ),
    1.79
    )
    1.67
    ).
    1.66
    )'
    1.58
    )—
    1.57
    )].
    1.55
    )...
    1.51
    )?
    1.48
    ):
    1.48
    );
    1.46
    Activations Density 0.150%

    No Known Activations