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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. 11-RES-JB
    11. 60
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    Explanations

    processes or actions involving materials and chemical elements

    oai_token-act-pair · gpt-3.5-turbo

    technical details related to materials and their processing

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Awareness
    -0.70
     docs
    -0.66
     behavi
    -0.65
     elig
    -0.65
     homelessness
    -0.63
     situational
    -0.62
    Politics
    -0.62
     relevance
    -0.61
     BUS
    -0.60
     Pets
    -0.60
    POSITIVE LOGITS
     supplemented
    1.05
     diluted
    1.04
     coated
    1.02
     dipped
    1.01
     soaked
    1.00
     sprayed
    0.99
     dissolved
    0.99
     immersed
    0.91
     fitted
    0.90
     inserted
    0.89
    Activations Density 0.337%

    No Known Activations