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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
    11. 22416
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    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "notice" 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
    UES
    -0.77
    ECD
    -0.74
    Export
    -0.72
    EVA
    -0.70
    âĹ¼
    -0.69
    UFF
    -0.64
    ourke
    -0.64
    UE
    -0.61
    otom
    -0.61
     corrid
    -0.60
    POSITIVE LOGITS
    andum
    0.94
    lessly
    0.88
    ably
    0.87
    isance
    0.87
     notice
    0.85
    orial
    0.82
    itarian
    0.82
    abl
    0.81
     notices
    0.79
    ances
    0.78
    Activations Density 0.009%

    No Known Activations