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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. 3489
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    Explanations

    chemical substances and related terms, specifically focusing on pollutants and isotopes

    oai_token-act-pair · gpt-3.5-turbo

    terms related to environmental health hazards and toxic substances

    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
    ©¶æ
    -0.88
    irc
    -0.76
    kus
    -0.72
    ership
    -0.71
    ÅĤ
    -0.67
    cession
    -0.66
    ndra
    -0.66
    romy
    -0.64
    JC
    -0.63
    imar
    -0.62
    POSITIVE LOGITS
    ogens
    0.93
     substances
    0.83
     additives
    0.77
     containing
    0.77
     toxins
    0.76
     cocktail
    0.76
     namely
    0.74
     cocktails
    0.73
     smugglers
    0.73
     conco
    0.72
    Activations Density 0.172%

    No Known Activations