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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. 24322
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    Explanations

    phrases related to operations and speeds

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating specific times or rates of action

    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
    izo
    -0.74
    gered
    -0.74
    Connector
    -0.73
    FTWARE
    -0.73
     Owners
    -0.70
    atis
    -0.62
    git
    -0.61
    cro
    -0.59
    phabet
    -0.59
    aceutical
    -0.58
    POSITIVE LOGITS
     least
    1.13
     speeds
    1.03
    mosp
    1.02
     distances
    0.90
     intervals
    0.88
     altitude
    0.87
     temperatures
    0.86
     dusk
    0.85
     conventions
    0.83
    levels
    0.82
    Activations Density 0.131%

    No Known Activations