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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. 3-RES-JB
    11. 3636
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    Explanations

    molecules

    oai_token-act-pair · gpt-3.5-turbo

    mentions of molecules and atoms in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    į
    -0.87
    san
    -0.78
    Disney
    -0.75
    ²
    -0.75
    ership
    -0.74
    shire
    -0.74
    sylvania
    -0.73
    ij士
    -0.73
     Freddy
    -0.72
     Bald
    -0.71
    POSITIVE LOGITS
    cules
    1.35
     molecule
    1.33
     molecules
    1.27
     nitrogen
    0.96
    cule
    0.95
     ammonia
    0.85
     sulf
    0.82
    agine
    0.82
     oxide
    0.82
     oxygen
    0.81
    Activations Density 0.012%

    No Known Activations