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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. 6-RES-JB
    11. 11565
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    Explanations

    chemical compounds and substances, especially those related to health and toxicity

    oai_token-act-pair · gpt-3.5-turbo

    terms related to chemical substances and their potential harmful effects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ership
    -0.80
    Fal
    -0.75
    irc
    -0.73
    Cent
    -0.72
    DEM
    -0.71
    iversary
    -0.70
    izons
    -0.69
    ENG
    -0.69
    esan
    -0.69
    Ń·
    -0.68
    POSITIVE LOGITS
     additives
    1.06
     substances
    0.99
     chemically
    0.96
     oxid
    0.96
     ions
    0.95
     compounds
    0.95
     soluble
    0.95
     antioxidants
    0.93
     residues
    0.91
     metabolites
    0.89
    Activations Density 0.118%

    No Known Activations