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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. 9-RES-JB
    11. 17297
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    Explanations

    phrases related to the movement of particles and energy

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to physical properties and behaviors of materials and particles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Homeless
    -0.75
     Bust
    -0.69
    orthy
    -0.66
     Teachers
    -0.65
     Willie
    -0.64
    Vill
    -0.63
     Manor
    -0.62
     Kids
    -0.62
     Salad
    -0.61
    kids
    -0.61
    POSITIVE LOGITS
     electrons
    1.46
     photons
    1.37
     atoms
    1.21
     photon
    1.20
     electromagnetic
    1.17
     electron
    1.15
     molecules
    1.15
     wavelengths
    1.14
     particles
    1.14
     wavelength
    1.12
    Activations Density 1.044%

    No Known Activations