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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. 19878
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    Explanations

    mentions of electrons and their properties

    oai_token-act-pair · gpt-3.5-turbo

    references to subatomic particles, particularly electrons and neutrons

    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
     Adventure
    -0.80
     Kay
    -0.76
    awi
    -0.73
     Tort
    -0.73
     Provincial
    -0.73
     Savage
    -0.71
    isal
    -0.71
     Honduras
    -0.69
     Habit
    -0.68
     Safari
    -0.68
    POSITIVE LOGITS
     electron
    3.19
     electrons
    2.90
     photon
    2.41
     neutron
    2.30
     photons
    2.18
     physicists
    2.13
     neut
    1.92
     physicist
    1.78
     particle
    1.76
     posit
    1.59
    Activations Density 0.046%

    No Known Activations