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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. 12932
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    INDEX
    Explanations

    phrases related to exploring the outdoors and experiencing the beauty of nature

    oai_token-act-pair · gpt-3.5-turbo

    descriptors of natural beauty and exploration

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
     Donation
    -0.74
    vertisement
    -0.72
    nesty
    -0.71
    elected
    -0.67
    ortium
    -0.67
     blaming
    -0.65
    wark
    -0.64
     Oversight
    -0.64
    phasis
    -0.63
    initial
    -0.60
    POSITIVE LOGITS
     nuances
    1.08
     facets
    1.03
     intric
    1.01
     surroundings
    1.00
     possibilities
    0.91
     mysteries
    0.89
     complexities
    0.89
     richness
    0.88
     landscapes
    0.88
     workings
    0.87
    Activations Density 0.608%

    No Known Activations