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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. 7-RES-JB
    11. 5248
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    Explanations

    words related to daily activities or routines

    oai_token-act-pair · gpt-3.5-turbo

    references to daily routines or activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    essee
    -0.93
    holes
    -0.83
    artisan
    -0.79
    dinand
    -0.77
    yrights
    -0.72
    OHN
    -0.71
     Gould
    -0.71
    enic
    -0.71
    aldehyde
    -0.70
    neau
    -0.69
    POSITIVE LOGITS
    motion
    1.10
     occurrence
    1.07
     occurrences
    0.97
     commute
    0.91
     routines
    0.87
     intervals
    0.87
     routine
    0.85
     specials
    0.84
     necessities
    0.83
     dose
    0.82
    Activations Density 0.029%

    No Known Activations