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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. 16075
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    Explanations

    phrases indicating high probability or likelihood of an event happening

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating probability or likelihood

    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
    gado
    -0.73
    zeb
    -0.71
    elta
    -0.71
    inth
    -0.71
    ente
    -0.70
    enced
    -0.70
    hips
    -0.70
    ells
    -0.67
    gencies
    -0.66
    ça
    -0.66
    POSITIVE LOGITS
     underestimate
    0.83
     releg
    0.78
     assume
    0.76
     rely
    0.74
     equate
    0.71
     partName
    0.70
     infer
    0.70
    entimes
    0.69
     unfocusedRange
    0.69
     underestimated
    0.68
    Activations Density 0.024%

    No Known Activations