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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. 1-RES-JB
    11. 23050
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    Explanations

    phrases related to particles and experiments in physics, specifically focusing on neutrinos and neutron stars

    oai_token-act-pair · gpt-3.5-turbo

    terms related to neutrons and particle physics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anqu
    -0.80
    DragonMagazine
    -0.78
    taboola
    -0.76
    uador
    -0.76
    ournal
    -0.76
    awaru
    -0.75
    Ell
    -0.75
    Standing
    -0.75
    Marg
    -0.73
    ansas
    -0.73
    POSITIVE LOGITS
     neut
    1.40
    rals
    1.12
    rons
    1.11
    inos
    0.81
    ron
    0.75
     radiation
    0.73
    ãĤ¡
    0.72
     neutron
    0.72
     particle
    0.71
    asers
    0.70
    Activations Density 0.016%

    No Known Activations