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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. 15202
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    Explanations

    instances of the word "particles" in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to particles in a scientific context

    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
     Caldwell
    -0.79
    akedown
    -0.74
     Brooks
    -0.70
     Led
    -0.70
    awi
    -0.68
     Jericho
    -0.67
     Daly
    -0.67
    edd
    -0.66
     Rehab
    -0.65
    WW
    -0.65
    POSITIVE LOGITS
     particles
    3.57
     particle
    3.29
     nanop
    1.63
     partic
    1.58
     physicists
    1.31
     photons
    1.29
     aeros
    1.25
     photon
    1.21
     molecules
    1.19
     fragments
    1.18
    Activations Density 0.013%

    No Known Activations