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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. 8-RES-JB
    11. 12616
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    Explanations

    references to various campaigns happening in different contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to various campaigns

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    orgetown
    -0.92
    ĪĴ
    -0.75
     decaying
    -0.68
    essional
    -0.67
    ãĥĥãĥī
    -0.64
     Lumpur
    -0.63
     Flo
    -0.62
     lowly
    -0.61
    ostic
    -0.61
    sembly
    -0.60
    POSITIVE LOGITS
     against
    0.97
     waged
    0.95
     slogan
    0.93
    horse
    0.92
     campaigns
    0.90
     undertaken
    0.85
     manager
    0.84
     trail
    0.83
    campaign
    0.81
    ulations
    0.79
    Activations Density 0.044%

    No Known Activations