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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 2-RES-JB
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    Explanations

    instances where the word 'hear' is mentioned

    oai_token-act-pair · gpt-3.5-turbo

    the repeated phrase "hear" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    apo
    -0.75
    prime
    -0.74
    PHOTOS
    -0.72
    eros
    -0.72
    si
    -0.72
    Prime
    -0.68
    sis
    -0.68
    EStreamFrame
    -0.67
    ettel
    -0.67
    transfer
    -0.66
    POSITIVE LOGITS
     Heard
    1.00
     hear
    0.96
     Hear
    0.92
     voices
    0.92
     hearing
    0.91
     heard
    0.86
     Hearing
    0.76
    eport
    0.73
     hears
    0.73
     ear
    0.72
    Activations Density 0.019%

    No Known Activations