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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. 10-RES-JB
    11. 11548
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    Explanations

    proper nouns related to companies, organizations, and products

    oai_token-act-pair · gpt-3.5-turbo

    specific terms related to decision-making and options within texts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĻĤ
    -0.63
     straw
    -0.62
     date
    -0.62
     flush
    -0.61
     ditch
    -0.60
     enshr
    -0.60
     remotely
    -0.60
     recourse
    -0.59
     schedule
    -0.58
     peak
    -0.58
    POSITIVE LOGITS
    love
    0.91
     Labs
    0.89
     Management
    0.86
    Maker
    0.83
    Works
    0.82
    ocene
    0.80
     Disorders
    0.80
     Factory
    0.80
     Foods
    0.79
     Matters
    0.78
    Activations Density 0.243%

    No Known Activations