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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. 3-RES-JB
    11. 20718
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    themes related to personal and player development

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Vox
    -0.73
     censored
    -0.72
    VA
    -0.72
    Virgin
    -0.70
     Victorian
    -0.70
    ya
    -0.69
     Vanity
    -0.68
     Patent
    -0.68
    Victoria
    -0.67
    Library
    -0.67
    POSITIVE LOGITS
     teammates
    1.00
     teamwork
    0.94
     adversity
    0.93
     rookies
    0.91
     coaching
    0.89
    sson
    0.87
     teammate
    0.86
    strength
    0.86
     signings
    0.86
     athlet
    0.86
    Activations Density 0.417%

    No Known Activations