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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. 7-RES-JB
    11. 23883
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    Explanations

    phrases related to collaboration and working closely with others

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating collaboration or group efforts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Thumbnails
    -0.66
     Concern
    -0.63
     Pry
    -0.62
    ngth
    -0.61
     toppled
    -0.60
     Ambro
    -0.59
     pierced
    -0.59
     passers
    -0.57
     jaws
    -0.57
     brittle
    -0.57
    POSITIVE LOGITS
     collabor
    0.87
    ework
    0.85
     tirelessly
    0.83
     diligently
    0.78
     overtime
    0.75
    HQ
    0.72
     unison
    0.71
    hof
    0.70
    flows
    0.68
     shifts
    0.68
    Activations Density 0.123%

    No Known Activations