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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. 14691
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    Explanations

    instructions or requirements

    oai_token-act-pair · gpt-3.5-turbo

    requirements and conditions for participation or compliance

    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
     bloggers
    -0.67
    reddits
    -0.66
    USD
    -0.64
    Page
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    Downloadha
    -0.63
    Fest
    -0.63
    Org
    -0.62
     weddings
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     lesbians
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    aroo
    -0.61
    POSITIVE LOGITS
     Otherwise
    0.94
     manually
    0.89
     ASAP
    0.78
     preferably
    0.76
     oneself
    0.75
     BEFORE
    0.71
    Otherwise
    0.71
     beforehand
    0.70
     yourself
    0.67
     Leth
    0.66
    Activations Density 0.760%

    No Known Activations