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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
    11. 24306
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    Explanations

    words related to repetitive behaviors or routines

    oai_token-act-pair · gpt-3.5-turbo

    references to habits and routines

    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
     SAR
    -0.77
     GOODMAN
    -0.76
    ammy
    -0.67
    amen
    -0.67
    ×Ļ×
    -0.66
    aman
    -0.62
    enic
    -0.62
     Consortium
    -0.62
     wheelchair
    -0.61
     KING
    -0.61
    POSITIVE LOGITS
     habits
    1.57
     behaviours
    0.93
     habit
    0.91
     behavi
    0.86
    ierre
    0.83
    ually
    0.82
    uation
    0.82
    uated
    0.81
    oleon
    0.80
    dayName
    0.79
    Activations Density 0.005%

    No Known Activations