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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 17990
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks and tracking phrases

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ROR
    -0.77
    ELD
    -0.74
    rolet
    -0.70
    iph
    -0.69
    OWN
    -0.65
    anish
    -0.65
    ARS
    -0.64
    ISION
    -0.64
    ¬¼
    -0.64
    stanbul
    -0.64
    POSITIVE LOGITS
     chances
    1.09
     logically
    0.95
     shouldn
    0.87
     naturally
    0.85
     surely
    0.84
     coupled
    0.84
     needless
    0.81
     understandably
    0.79
     excluding
    0.78
     please
    0.76
    Activations Density 0.240%

    No Known Activations