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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 11-RES-JB
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    Explanations

    references to alcohol consumption and its effects

    oai_token-act-pair · gpt-3.5-turbo

    references to alcohol and its effects, particularly in the context of behavior and health

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Ai
    -0.96
    Mesh
    -0.93
     Mesh
    -0.92
     Miko
    -0.89
     Proced
    -0.87
    DAQ
    -0.84
     nests
    -0.82
     Sharif
    -0.80
    Vector
    -0.77
    ilater
    -0.76
    POSITIVE LOGITS
     alcohol
    2.20
     drinkers
    2.16
    cohol
    2.14
     alcoholic
    2.11
     drink
    2.10
     booze
    2.09
    alcohol
    2.07
     drinking
    2.05
     Alcohol
    2.05
     drunk
    2.02
    Activations Density 0.375%

    No Known Activations