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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. 6379
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    Explanations

    phrases related to picking up or understanding something

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the action of picking up or addressing issues

    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
    croft
    -0.94
    conn
    -0.83
    obar
    -0.82
    afia
    -0.70
    gha
    -0.69
    ipedia
    -0.69
    Released
    -0.68
    oly
    -0.67
    enegger
    -0.66
    uci
    -0.66
    POSITIVE LOGITS
     slack
    0.89
     pace
    0.89
     litter
    0.86
     hitch
    0.83
     steam
    0.79
     stitches
    0.78
     chicks
    0.77
    speed
    0.75
     speed
    0.75
     groceries
    0.73
    Activations Density 0.034%

    No Known Activations