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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. 4-RES-JB
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    Explanations

    the word "correctly"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "correctly" and its variations

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

    No Comments

    Negative Logits
    hyde
    -0.71
    RAW
    -0.71
     crime
    -0.68
    ĸļ
    -0.68
    aily
    -0.67
    iens
    -0.66
     royalty
    -0.65
     arrivals
    -0.65
    iments
    -0.64
     tropes
    -0.63
    POSITIVE LOGITS
    wired
    0.80
     positioned
    0.79
     aligned
    0.78
    imated
    0.76
    correct
    0.74
     regenerate
    0.73
     reproduce
    0.72
     suited
    0.72
     fitted
    0.72
     corrected
    0.71
    Activations Density 0.013%

    No Known Activations