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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. 15161
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    oai_token-act-pair · gpt-3.5-turbo

    numerical data or statistics relating to safety and health incidents

    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
    ©¶æ
    -0.88
    ĪĴ
    -0.75
     favorably
    -0.75
     behaviors
    -0.71
     favor
    -0.71
     purs
    -0.71
    hovah
    -0.70
     favored
    -0.69
    ¥µ
    -0.68
     swall
    -0.66
    POSITIVE LOGITS
    However
    1.32
    Topics
    1.32
    Meanwhile
    1.25
    Asked
    1.21
    Read
    1.19
    Those
    1.17
    But
    1.15
    Having
    1.15
    Speaking
    1.13
    Writing
    1.13
    Activations Density 0.438%

    No Known Activations