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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. 4-RES-JB
    11. 20434
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    Explanations

    words related to heavy physical or metaphorical burdens

    oai_token-act-pair · gpt-3.5-turbo

    references to "load" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     rall
    -0.70
    perty
    -0.69
    icho
    -0.67
    cko
    -0.67
    gary
    -0.66
    vous
    -0.65
    KEN
    -0.63
    apolis
    -0.63
    Downloadha
    -0.62
    atown
    -0.61
    POSITIVE LOGITS
     loads
    1.08
     load
    1.08
    loads
    0.98
    iless
    0.97
    load
    0.95
    enger
    0.93
    owship
    0.91
    bearing
    0.89
    bag
    0.88
    shed
    0.83
    Activations Density 0.011%

    No Known Activations