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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. 24048
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    Explanations

    phrases related to increasing probability or likelihood of an event happening

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate increases in probability or risk

    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
    omorphic
    -0.80
    oros
    -0.76
    REDACTED
    -0.69
    icians
    -0.68
    bern
    -0.68
    apers
    -0.66
    bos
    -0.66
    interstitial
    -0.64
    annot
    -0.64
    mega
    -0.63
    POSITIVE LOGITS
     exponentially
    0.88
     dramatically
    0.80
     footprint
    0.80
     considerably
    0.76
     dependency
    0.75
     enormously
    0.70
     morale
    0.70
     drastically
    0.70
     substantially
    0.70
     visibility
    0.69
    Activations Density 0.462%

    No Known Activations