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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. 10-RES-JB
    11. 16373
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    Explanations

    phrases related to attracting attention or interest

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "attract" and its variations related to drawing interest or attention

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bard
    -0.73
    jab
    -0.67
    olin
    -0.66
    .............
    -0.64
    ·
    -0.64
    ©¶æ
    -0.64
    士
    -0.63
     sounded
    -0.62
     Oops
    -0.62
    wic
    -0.61
    POSITIVE LOGITS
     attention
    1.47
     hordes
    1.01
     unwanted
    1.01
     Attention
    1.00
     visitors
    0.99
     crowds
    0.96
     onlook
    0.94
     tourists
    0.93
     advertisers
    0.92
     audiences
    0.92
    Activations Density 0.093%

    No Known Activations