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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 3575
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to specialties and unique categories of expertise

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iven
    -0.86
     Babel
    -0.81
    obyl
    -0.71
    ils
    -0.70
     2048
    -0.69
    ilib
    -0.69
     Migration
    -0.67
    IL
    -0.66
    ILS
    -0.65
    construct
    -0.65
    POSITIVE LOGITS
     specialty
    2.47
     vintage
    1.79
     antique
    1.30
     prescription
    1.29
     wax
    1.06
     persuasion
    1.04
     novelty
    1.03
     Schwartz
    1.01
     prescriptions
    1.00
     bent
    0.96
    Activations Density 0.036%

    No Known Activations