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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. 2-RES-JB
    11. 842
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    Explanations

    the prefix "su" at the beginning of words

    oai_token-act-pair · gpt-4-turbo

    technical terms related to supersonic speeds and objects

    oai_token-act-pair · gpt-3.5-turbo

    terms related to surveillance or monitoring

    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
    naires
    -0.87
    hyde
    -0.85
    Monitor
    -0.73
    wright
    -0.71
     Controls
    -0.69
     Orbit
    -0.68
     Lyme
    -0.67
    orians
    -0.66
    iard
    -0.66
    assetsadobe
    -0.65
    POSITIVE LOGITS
     predec
    1.07
    arez
    1.04
    zanne
    0.98
    pert
    0.97
    nder
    0.96
     su
    0.93
    cess
    0.93
    jj
    0.93
    plet
    0.92
    ited
    0.90
    Activations Density 0.005%

    No Known Activations