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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. 11-RES-JB
    11. 10157
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    Explanations

    numeric values indicating the capacity of something

    oai_token-act-pair · gpt-3.5-turbo

    references to capacity in various contexts, including physical, operational, and structural capacities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    olson
    -0.72
    bart
    -0.68
    aida
    -0.66
    chard
    -0.64
     Silence
    -0.64
    algia
    -0.64
    wed
    -0.62
    scene
    -0.61
    esta
    -0.60
    cause
    -0.60
    POSITIVE LOGITS
     capacities
    1.12
     utilization
    1.05
     capacity
    0.97
    acity
    0.90
     limitations
    0.88
    ities
    0.87
    abilities
    0.87
     gaps
    0.84
     limitation
    0.83
    iencies
    0.80
    Activations Density 0.083%

    No Known Activations