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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 16363
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    Explanations

    financial terms and activities

    oai_token-act-pair · gpt-3.5-turbo

    instances of punctuation or the use of commas in sentences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ernels
    -0.80
    ities
    -0.79
    lees
    -0.72
     repositories
    -0.66
     detectors
    -0.66
     idols
    -0.64
    riers
    -0.64
    izens
    -0.64
     disciplines
    -0.63
     departments
    -0.63
    POSITIVE LOGITS
     consisting
    0.93
     wherein
    0.85
    albeit
    0.83
     albeit
    0.82
     preferably
    0.80
     resembling
    0.79
     whereby
    0.78
    shapeshifter
    0.77
     comprising
    0.75
    circle
    0.72
    Activations Density 0.846%

    No Known Activations