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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    the word "a"

    oai_token-act-pair · gpt-3.5-turbo

    the repeated use of 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 @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    âĿ
    -0.80
     Jagu
    -0.79
    =~
    -0.77
    fn
    -0.76
    enance
    -0.75
    terness
    -0.73
     Adin
    -0.72
    bots
    -0.72
    ontent
    -0.69
    andon
    -0.69
    POSITIVE LOGITS
     standalone
    1.03
     result
    0.91
     predictor
    0.88
     reminder
    0.88
     beginner
    0.84
     prerequisite
    0.83
     discrete
    0.82
     precursor
    0.82
     gateway
    0.80
     lot
    0.79
    Activations Density 0.164%

    No Known Activations