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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. 20474
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to CE (common era) and related structures or concepts

    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
    nesota
    -0.92
    mort
    -0.90
    folk
    -0.84
    ended
    -0.84
    bucks
    -0.83
    iewicz
    -0.83
    ingen
    -0.80
    ending
    -0.79
    isations
    -0.79
    ends
    -0.78
    POSITIVE LOGITS
    VO
    0.88
    lements
    0.82
    utical
    0.82
    obyl
    0.78
    ¬¼
    0.78
    URRENT
    0.77
    lling
    0.76
    lled
    0.72
    VERS
    0.72
    LL
    0.72
    Activations Density 0.038%

    No Known Activations