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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. 24075
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    INDEX
    Explanations

    positive adjectives related to the appearance or quality of something

    oai_token-act-pair · gpt-3.5-turbo

    adjectives describing beauty, humor, and absurdity

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
     takeaway
    -0.64
    CV
    -0.62
     pointers
    -0.59
     Authority
    -0.58
    VO
    -0.58
     Domain
    -0.56
    CVE
    -0.56
     Summoner
    -0.56
     Dul
    -0.56
     Sigma
    -0.56
    POSITIVE LOGITS
    iest
    1.89
    iness
    1.82
    eness
    1.55
    eless
    1.55
    ily
    1.47
    ier
    1.44
    hest
    1.38
    iful
    1.28
    eways
    1.27
    ifying
    1.24
    Activations Density 0.130%

    No Known Activations