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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. 9-RES-JB
    6. 10608
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    Explanations

    phrases related to consequences or outcomes

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating causation or consequence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atching
    -0.59
    entric
    -0.55
    ature
    -0.52
    schild
    -0.51
     practise
    -0.51
     contested
    -0.50
    iling
    -0.50
     rivalry
    -0.50
     submitted
    -0.50
    inen
    -0.49
    POSITIVE LOGITS
     nowhere
    0.89
     inevitably
    0.88
    ãĥĥãĥī
    0.84
     inex
    0.83
     to
    0.80
    entious
    0.79
    gers
    0.79
     toward
    0.76
     directly
    0.76
    uez
    0.75
    Activations Density 0.059%

    No Known Activations