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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. 9-RES-JB
    11. 2978
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    Explanations

    instances of objects or people that are physically covered or wrapped in something, particularly related to injuries or medical care

    oai_token-act-pair · gpt-3.5-turbo

    prepositions and phrases indicating confinement or wrapping

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    deal
    -0.83
    hof
    -0.76
    yssey
    -0.72
    initions
    -0.71
    starting
    -0.69
    hops
    -0.68
    linger
    -0.67
    ablishment
    -0.67
    hai
    -0.67
    boxing
    -0.66
    POSITIVE LOGITS
     sweat
    0.91
     foliage
    0.91
     snow
    0.89
     mud
    0.87
     ice
    0.87
     olive
    0.87
     plaster
    0.85
     orange
    0.85
     crimson
    0.84
     graffiti
    0.84
    Activations Density 0.162%

    No Known Activations