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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. 6851
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    Explanations

    phrases indicating an emphasis on something

    oai_token-act-pair · gpt-3.5-turbo

    repetitive phrases that suggest additional content or links

    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
    Pur
    -0.60
    edia
    -0.59
     Pegasus
    -0.57
    ial
    -0.55
     Kru
    -0.55
    atri
    -0.55
    ium
    -0.54
    heart
    -0.53
    pit
    -0.53
    ical
    -0.53
    POSITIVE LOGITS
     MORE
    3.85
    MORE
    1.58
     ALSO
    1.34
     MUCH
    1.28
     More
    1.15
     EVEN
    1.14
    More
    1.07
     SOME
    1.07
    more
    1.05
     WAY
    0.99
    Activations Density 0.011%

    No Known Activations