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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. 4-RES-JB
    11. 14485
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    Explanations

    technical or scientific terms related to materials or substance properties

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of materials

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

    No Comments

    Negative Logits
     Pis
    -0.69
    eur
    -0.68
    arios
    -0.66
    otos
    -0.64
     4090
    -0.64
    cession
    -0.63
     Lomb
    -0.62
    ño
    -0.62
    etts
    -0.62
    European
    -0.61
    POSITIVE LOGITS
     materials
    1.07
    Materials
    1.01
    anguage
    0.98
    mith
    0.93
    afety
    0.84
     Alloy
    0.82
    utonium
    0.80
     Materials
    0.79
     Manufacturer
    0.79
    ä¹ĭ
    0.77
    Activations Density 0.015%

    No Known Activations