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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. 3015
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    Explanations

    phrases related to verifying human users or preventing automated processes

    oai_token-act-pair · gpt-3.5-turbo

    mentions of verification or authentication mechanisms

    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
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    Negative Logits
    gow
    -0.72
     grav
    -0.65
    ibaba
    -0.63
    ciation
    -0.61
     cous
    -0.61
    uries
    -0.60
    ciples
    -0.60
     Vengeance
    -0.59
     Bord
    -0.57
     Hudson
    -0.57
    POSITIVE LOGITS
     anymore
    1.00
    iframe
    0.81
    à¼
    0.76
    taboola
    0.70
    76561
    0.69
     isEnabled
    0.66
    ENA
    0.66
    GoldMagikarp
    0.65
     Flavoring
    0.64
    IRED
    0.61
    Activations Density 0.021%

    No Known Activations