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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. 8-RES-JB
    11. 895
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    promotional language and marketing terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •Few-Token Promoting Features
    Bracket Closing
    •Bracket Closing Features Layer 8 GPT2 Small
    •Skip Features
    brackets

    No Comments

    Negative Logits
     guiName
    -0.99
    etheless
    -0.64
    ãĢİ
    -0.50
     showc
    -0.49
    ãĢIJ
    -0.47
    ":[{"
    -0.47
     reconc
    -0.45
    [/
    -0.45
     withd
    -0.45
    foreseen
    -0.45
    POSITIVE LOGITS
    )
    1.78
    ?)
    1.70
    )"
    1.69
    ),"
    1.67
    ),
    1.67
    )?
    1.64
    !)
    1.63
    )/
    1.61
    ):
    1.60
    )]
    1.59
    Activations Density 1.120%

    No Known Activations