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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. 6286
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    Explanations

    phrases related to gaining or acquiring something

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to obtaining or achieving something

    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
    azo
    -0.85
    agate
    -0.71
    soDeliveryDate
    -0.71
    alian
    -0.69
    iso
    -0.68
    rake
    -0.66
    sis
    -0.66
    querque
    -0.64
    heses
    -0.64
     kidding
    -0.62
    POSITIVE LOGITS
     traction
    1.34
     notoriety
    1.29
     momentum
    1.16
     access
    1.10
     insight
    1.08
     prominence
    1.04
     recognition
    1.02
     insights
    1.01
    esville
    1.00
     foothold
    0.98
    Activations Density 0.063%

    No Known Activations