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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. 22691
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    Explanations

    references to and descriptions of crowds

    oai_token-act-pair · gpt-3.5-turbo

    references to crowds and crowd management

    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
    tein
    -0.80
     Deg
    -0.65
     Equip
    -0.63
    axter
    -0.62
    omic
    -0.61
    ishops
    -0.61
     Kamp
    -0.60
     Degree
    -0.60
    cer
    -0.60
    士
    -0.58
    POSITIVE LOGITS
    ourced
    1.20
    ourcing
    1.10
    funded
    0.95
    fund
    0.86
    atics
    0.85
    funding
    0.81
     gathered
    0.79
     cheering
    0.79
    igans
    0.77
     gathers
    0.77
    Activations Density 0.033%

    No Known Activations