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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. 9227
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    Explanations

    information related to nicotine and other substances like ecstasy and glutamate

    oai_token-act-pair · gpt-3.5-turbo

    mentions of nicotine and related 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
    neys
    -0.94
    earth
    -0.83
    fman
    -0.76
     Nerd
    -0.71
     Syri
    -0.71
    NEY
    -0.71
     Nou
    -0.71
    Spot
    -0.71
    ber
    -0.70
    Earth
    -0.68
    POSITIVE LOGITS
    amphetamine
    1.10
    hetamine
    1.10
    stasy
    1.05
     nicotine
    1.02
     laced
    0.98
     ecstasy
    0.91
     chloride
    0.89
     toxicity
    0.88
     induced
    0.88
     overdose
    0.87
    Activations Density 0.010%

    No Known Activations