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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. 1872
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    oai_token-act-pair · gpt-3.5-turbo

    terms related to online activity and user engagement

    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
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    Negative Logits
     dancers
    -0.79
     gown
    -0.71
    ologically
    -0.71
     crib
    -0.71
    ocrats
    -0.70
    heny
    -0.68
    ologies
    -0.67
    reet
    -0.66
    laws
    -0.65
    ouf
    -0.65
    POSITIVE LOGITS
     Thumbnails
    1.05
    Activity
    1.02
    Thread
    0.97
    iculty
    0.94
     Downloads
    0.91
    Joined
    0.90
    namese
    0.84
    ertodd
    0.84
    Instance
    0.81
    User
    0.80
    Activations Density 0.025%

    No Known Activations