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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
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    Explanations

    mineral-related terms in text

    oai_token-act-pair · gpt-3.5-turbo

    references to minerals and their properties

    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
    ILLE
    -0.94
    iannopoulos
    -0.85
    Rated
    -0.78
    akening
    -0.74
    earable
    -0.72
    fare
    -0.71
    lihood
    -0.71
     Ended
    -0.70
    enegger
    -0.69
    atche
    -0.68
    POSITIVE LOGITS
     minerals
    1.16
     mineral
    1.06
    ogical
    1.02
     territ
    0.87
     gland
    0.86
     Mineral
    0.86
    vertisement
    0.84
     Seym
    0.83
     exploration
    0.83
     ore
    0.82
    Activations Density 0.008%

    No Known Activations