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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. 9812
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    Explanations

    references to the word "cinnamon" and words related to responsibility and transparency, such as "accountability" and "Disclosure"

    oai_token-act-pair · gpt-3.5-turbo

    references to cinnamon and accountability

    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
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    No Comments

    Negative Logits
    eks
    -0.86
    cloth
    -0.85
    ets
    -0.81
    aned
    -0.79
     Niet
    -0.79
    dom
    -0.77
    doms
    -0.77
    eting
    -0.74
    kens
    -0.72
    makers
    -0.70
    POSITIVE LOGITS
    ience
    0.93
     sqor
    0.87
    iences
    0.87
    isle
    0.86
    ible
    0.82
    IENCE
    0.81
    uracy
    0.81
    ivia
    0.81
    ibly
    0.79
    ãĥ¼ãĥĨãĤ£
    0.77
    Activations Density 0.049%

    No Known Activations