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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. 6-RES-JB
    11. 906
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    Explanations

    proper nouns and phrases indicating someone making a statement or observation

    oai_token-act-pair · gpt-3.5-turbo

    the citation of sources or references in a discussion

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    emate
    -0.74
    istries
    -0.72
    rang
    -0.70
    anking
    -0.67
    neutral
    -0.67
    rontal
    -0.65
    relative
    -0.65
    pan
    -0.65
    rency
    -0.64
    rig
    -0.63
    POSITIVE LOGITS
     aptly
    0.73
     pointed
    0.64
     dictates
    0.63
     elsewhere
    0.61
     Sov
    0.61
     eloqu
    0.60
     (),
    0.60
     Thrones
    0.60
     unfolds
    0.60
     paraph
    0.60
    Activations Density 0.106%

    No Known Activations