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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. 11-RES-JB
    11. 14699
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    Explanations

    words related to softening or lightening something

    oai_token-act-pair · gpt-3.5-turbo

    words related to lighting, softening, and making things smoother or easier

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    è¦ļéĨĴ
    -0.82
    roma
    -0.75
    enza
    -0.74
    ublic
    -0.72
    rio
    -0.67
    DragonMagazine
    -0.67
    uesday
    -0.64
    å£
    -0.63
    uru
    -0.63
    EEK
    -0.62
    POSITIVE LOGITS
     considerably
    0.94
     things
    0.94
     matters
    0.88
     down
    0.85
     gears
    0.85
     throats
    0.85
     perceptions
    0.85
     expectations
    0.82
     up
    0.77
     arteries
    0.76
    Activations Density 0.175%

    No Known Activations