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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. 4-RES-JB
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    phrases related to theme parks

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with amusement and theme parks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     RNA
    -0.70
     iod
    -0.68
     membranes
    -0.68
    м
    -0.67
    ils
    -0.66
     polymer
    -0.66
     HELP
    -0.65
    odox
    -0.64
     Radical
    -0.63
    iencies
    -0.63
    POSITIVE LOGITS
     attractions
    1.17
     attraction
    1.02
    pole
    0.98
     Resort
    0.97
     Hotel
    0.92
    Disney
    0.90
    park
    0.87
     park
    0.86
     parks
    0.85
     hotels
    0.85
    Activations Density 0.065%

    No Known Activations