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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. 6698
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    INDEX
    Explanations

    mentions of molecules, particularly in scientific contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to molecules and molecular concepts

    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
     Fest
    -0.80
    ern
    -0.74
    Fest
    -0.74
    vern
    -0.69
    battle
    -0.68
    wn
    -0.67
     Bers
    -0.67
     trust
    -0.66
    esa
    -0.65
    fit
    -0.64
    POSITIVE LOGITS
     molecules
    3.41
     molecule
    3.17
     molecular
    2.04
     atoms
    1.94
     compounds
    1.57
     proteins
    1.56
     Molecular
    1.55
    cules
    1.55
     biom
    1.51
     pept
    1.49
    Activations Density 0.030%

    No Known Activations