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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 16217
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    Explanations

    references to atomic particles, particularly focusing on the behavior of atoms in different scenarios

    oai_token-act-pair · gpt-3.5-turbo

    word repetitions related to atoms and their properties

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Fargo
    -0.81
    PE
    -0.76
     Cosponsors
    -0.74
    Guard
    -0.73
    VICE
    -0.71
     Leone
    -0.69
    inav
    -0.69
     Sparrow
    -0.68
    HCR
    -0.66
     Angeles
    -0.65
    POSITIVE LOGITS
     atoms
    1.20
     atom
    1.09
    aceous
    1.01
    ctrl
    0.96
    ysis
    0.84
    ohyd
    0.84
    atom
    0.82
    oxin
    0.82
    ucle
    0.81
    atomic
    0.81
    Activations Density 0.013%

    No Known Activations