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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. 9-RES-JB
    11. 22739
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    INDEX
    Explanations

    mentions of lifestyle choices

    oai_token-act-pair · gpt-3.5-turbo

    references to lifestyle choices and related behaviors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    zynski
    -0.85
    enic
    -0.83
    essee
    -0.81
    enary
    -0.81
    enna
    -0.80
    amen
    -0.74
    ioxide
    -0.73
    Ni
    -0.73
    umo
    -0.73
    reek
    -0.72
    POSITIVE LOGITS
     lifestyle
    1.08
     choices
    1.07
     habits
    1.06
     lifestyles
    0.91
     essentials
    0.90
     amenities
    0.84
     regimen
    0.83
     necessities
    0.82
     expectancy
    0.82
     routines
    0.80
    Activations Density 0.102%

    No Known Activations