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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. 0-RES-JB
    11. 2482
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    INDEX
    Explanations

    habits, particularly negative or addictive ones

    oai_token-act-pair · gpt-3.5-turbo

    references to habits or behaviors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    illary
    -0.79
     Dillon
    -0.73
     ILCS
    -0.71
    render
    -0.67
    2020
    -0.65
     Airl
    -0.63
     Farn
    -0.62
    raise
    -0.61
    then
    -0.61
    Thank
    -0.61
    POSITIVE LOGITS
     habit
    4.27
     habits
    2.03
     Habit
    1.80
     habitual
    1.73
     tendency
    1.37
     penchant
    1.30
     propensity
    1.26
     knack
    1.24
     Hab
    1.08
     addiction
    1.07
    Activations Density 0.011%

    No Known Activations