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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. 9-RES-JB
    11. 19814
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to health risks and cancer

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    kj
    -0.79
    AU
    -0.72
    Ber
    -0.71
    stra
    -0.69
    Barn
    -0.67
    00007
    -0.67
    cker
    -0.65
    deen
    -0.64
    eon
    -0.62
    note
    -0.61
    POSITIVE LOGITS
     sheds
    0.63
    romeda
    0.62
     sizeof
    0.61
     implants
    0.59
     modifiers
    0.58
     automation
    0.58
     spices
    0.57
     giveaways
    0.56
     marg
    0.56
     features
    0.56
    Activations Density 0.078%

    No Known Activations