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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
    11. 21417
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    Explanations

    specific substances and drug-related terms, including stimulants and controlled substances

    oai_token-act-pair · gpt-3.5-turbo

    terms related to controlled substances and their classifications

    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
    ©¶æ
    -0.97
    hiro
    -0.69
     vend
    -0.68
    oir
    -0.67
    aldi
    -0.66
    hei
    -0.66
    ber
    -0.65
    ille
    -0.64
    BER
    -0.63
    eer
    -0.63
    POSITIVE LOGITS
     substances
    1.10
     Drugs
    1.10
     Flavoring
    0.93
    aband
    0.83
     drugs
    0.82
    committee
    0.81
     Subst
    0.79
     athlet
    0.79
    ixture
    0.79
     stimul
    0.78
    Activations Density 0.025%

    No Known Activations