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

    mentions of famous entities

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word 'famous'

    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
    heed
    -0.74
    adies
    -0.72
    idia
    -0.71
    otent
    -0.70
    THER
    -0.69
    athetic
    -0.67
    pt
    -0.67
    alone
    -0.66
    Ag
    -0.64
    utral
    -0.64
    POSITIVE LOGITS
    rities
    0.92
     famous
    0.83
     headlines
    0.77
     BaseType
    0.77
     nickname
    0.76
     landmarks
    0.73
    ness
    0.73
    NESS
    0.73
     names
    0.71
    famous
    0.70
    Activations Density 0.013%

    No Known Activations