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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 5543
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    Explanations

    various mentions of technical tasks and operations involving the term "work"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "work" and its variations in a computing context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Flavoring
    -0.78
    xual
    -0.74
    antha
    -0.74
     Jed
    -0.72
     Shal
    -0.69
     Ukrain
    -0.69
     Gord
    -0.68
    gars
    -0.67
    rition
    -0.66
    iren
    -0.65
    POSITIVE LOGITS
    station
    1.11
    flows
    1.11
    bench
    1.02
    paces
    0.87
    papers
    0.86
    heet
    0.86
    hops
    0.85
    river
    0.81
     arrang
    0.77
    Area
    0.74
    Activations Density 0.074%

    No Known Activations