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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. 1381
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    Explanations

    materials or concepts related to electromagnetic fields and their effects

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to magnetic fields and their effects

    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
    Surv
    -0.83
    Brend
    -0.81
     Beans
    -0.79
     Moreno
    -0.76
     Owen
    -0.76
    Database
    -0.76
    BuyableInstoreAndOnline
    -0.76
     Survival
    -0.75
     Palestine
    -0.75
    Cod
    -0.74
    POSITIVE LOGITS
     magnet
    1.90
     magnetic
    1.87
     magnets
    1.82
     electrom
    1.78
     electromagnetic
    1.68
     Magnetic
    1.66
     Magnet
    1.64
     electrons
    1.63
     electro
    1.51
     ions
    1.49
    Activations Density 0.191%

    No Known Activations