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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. 5546
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    Explanations

    adjectives describing positive attributes or characteristics of individuals

    oai_token-act-pair · gpt-3.5-turbo

    positive attributes and descriptions of individuals

    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
    doms
    -0.95
    events
    -0.88
    ptions
    -0.86
    uden
    -0.86
    izarre
    -0.85
    hops
    -0.84
    phrine
    -0.82
    skirts
    -0.81
    ournals
    -0.80
    Sov
    -0.80
    POSITIVE LOGITS
     person
    1.36
     thinker
    1.33
     guy
    1.31
     performer
    1.29
     campaigner
    1.22
     negotiator
    1.22
     businessman
    1.17
     athlete
    1.15
     dude
    1.12
     liar
    1.12
    Activations Density 0.134%

    No Known Activations