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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. 10474
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    Explanations

    prepositions followed by a noun phrase

    oai_token-act-pair · gpt-3.5-turbo

    the word "of" and its frequency in various contexts

    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
     reperto
    -0.80
    ername
    -0.70
     agre
    -0.69
     destro
    -0.68
    fully
    -0.65
    respective
    -0.63
    anu
    -0.62
    BILL
    -0.61
     preval
    -0.60
     misunder
    -0.60
    POSITIVE LOGITS
    icial
    0.98
     sorts
    0.96
     course
    0.89
     Plenty
    0.74
     Excellence
    0.71
     Destruction
    0.69
     Hearts
    0.66
     Roses
    0.65
     Lakes
    0.64
     Spears
    0.64
    Activations Density 0.244%

    No Known Activations