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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. 7-RES-JB
    6. 10570
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    Explanations

    prepositions followed by a number

    oai_token-act-pair · gpt-3.5-turbo

    the article "a" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    upon
    -0.88
    Events
    -0.72
    aurus
    -0.69
    oons
    -0.67
    ties
    -0.67
    lords
    -0.65
    Ingredients
    -0.65
    enance
    -0.64
    weights
    -0.62
    stores
    -0.61
    POSITIVE LOGITS
     whim
    1.13
     basis
    1.06
     treadmill
    0.98
     dime
    0.96
     leash
    0.96
     pedest
    0.94
     behalf
    0.93
     occasions
    0.91
     continuum
    0.91
     doorstep
    0.90
    Activations Density 0.052%

    No Known Activations