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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. 0-RES-JB
    11. 15408
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    Explanations

    terms related to magnetic fields and materials

    oai_token-act-pair · gpt-3.5-turbo

    terms related to magnetic fields and their applications

    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
    ews
    -0.81
     Hastings
    -0.79
    ifa
    -0.77
    cott
    -0.70
     Beans
    -0.69
     Ashton
    -0.69
    ney
    -0.68
     Huss
    -0.67
     Burk
    -0.67
     Brendan
    -0.66
    POSITIVE LOGITS
     magnetic
    3.66
     Magnetic
    2.82
     magnet
    2.10
     magnets
    2.02
    agnetic
    1.71
     Magnet
    1.62
     electromagnetic
    1.59
     electrom
    1.42
     electro
    1.40
     MRI
    1.29
    Activations Density 0.012%

    No Known Activations