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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. 10-RES-JB
    11. 15267
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    Explanations

    phrases indicating an alternative or preferred method of doing something

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing perspectives or ways of thinking

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ceilings
    -0.62
    asking
    -0.60
    izen
    -0.59
    meet
    -0.59
     Annotations
    -0.57
    ORN
    -0.56
    archives
    -0.55
    ongo
    -0.55
    ISTORY
    -0.54
    deb
    -0.54
    POSITIVE LOGITS
     way
    2.34
     WAY
    1.66
     Way
    1.55
     ways
    1.53
    way
    1.35
     manner
    1.22
    Way
    1.14
    ways
    1.09
    WAY
    1.04
     Ways
    1.02
    Activations Density 0.237%

    No Known Activations