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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. 1-RES-JB
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    Explanations

    the word "ie" repeated

    oai_token-act-pair · gpt-3.5-turbo

    the word "ie" and its variations in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ipeg
    -0.80
    izoph
    -0.78
    è¦ļéĨĴ
    -0.78
     gobl
    -0.75
    ŃĶ
    -0.74
     rive
    -0.70
     alternate
    -0.69
    ilitary
    -0.68
     notor
    -0.67
    £ı
    -0.67
    POSITIVE LOGITS
    llo
    1.02
    lla
    0.98
    eeee
    0.97
    gie
    0.96
    ie
    0.88
     Mae
    0.85
    bies
    0.85
    lette
    0.84
    cki
    0.82
    ux
    0.82
    Activations Density 0.018%

    No Known Activations