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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. 8955
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    Explanations

    words related to technology and innovation

    oai_token-act-pair · gpt-3.5-turbo

    negative or diminished experiences and descriptions

    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
     Dickinson
    -0.85
    ulhu
    -0.78
    ħĭ
    -0.69
     Vessel
    -0.68
     EntityItem
    -0.67
     Compass
    -0.64
     AVG
    -0.64
     Norris
    -0.63
    DragonMagazine
    -0.62
     Borders
    -0.61
    POSITIVE LOGITS
    based
    1.21
    sized
    1.16
    induced
    1.04
    derived
    1.02
    level
    1.02
    related
    1.01
    shaped
    0.97
    themed
    0.97
    eyed
    0.95
    exclusive
    0.94
    Activations Density 0.509%

    No Known Activations