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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. 6-RES-JB
    11. 15273
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    Explanations

    short phrases introducing new information

    oai_token-act-pair · gpt-3.5-turbo

    symbols or characters that signify formatting or formatting errors in text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     scattering
    -0.78
     scatter
    -0.73
     confinement
    -0.72
     multiplied
    -0.70
     spinning
    -0.70
     grips
    -0.68
     casting
    -0.68
     shroud
    -0.67
     multiplying
    -0.67
     gad
    -0.66
    POSITIVE LOGITS
    ¹
    1.35
    Į
    1.28
    º
    1.28
    £
    1.22
    »
    1.17
    į
    1.17
    ¤
    1.11
    ®
    1.10
    ª
    1.10
    ¡
    1.10
    Activations Density 0.147%

    No Known Activations