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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
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    Explanations

    instances of the word "drunken" appearing with a high activation value

    oai_token-act-pair · gpt-3.5-turbo

    references to drunkenness and related behaviors

    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
    EMS
    -0.83
    adr
    -0.81
    agnetic
    -0.76
    ILA
    -0.75
    atro
    -0.75
    ":["
    -0.73
    ERY
    -0.72
    arial
    -0.72
    ocol
    -0.71
    isite
    -0.69
    POSITIVE LOGITS
     drunken
    1.23
     drunk
    0.98
     manslaughter
    0.93
     binge
    0.89
     drinking
    0.85
     sailor
    0.84
     intoxication
    0.84
     intoxicated
    0.84
     swearing
    0.80
     drinkers
    0.80
    Activations Density 0.013%

    No Known Activations