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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. 7-RES-JB
    11. 5215
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    Explanations

    movie titles or related phrases that contain specific special characters such as âĢ and ľ

    oai_token-act-pair · gpt-3.5-turbo

    references to specific titles of media or artistic works

    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
    anwhile
    -0.69
     conserv
    -0.61
     excuses
    -0.61
     Glou
    -0.60
     walking
    -0.60
    ifications
    -0.60
    sonian
    -0.60
     shack
    -0.59
    bda
    -0.59
     bye
    -0.58
    POSITIVE LOGITS
    º
    1.09
    į
    1.00
    ı
    0.98
    ¹
    0.94
    ¼
    0.94
    ĭ
    0.93
    ¬
    0.92
    Į
    0.91
    ¡
    0.91
    »
    0.90
    Activations Density 0.228%

    No Known Activations