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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. 9-RES-JB
    11. 3560
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    Explanations

    text describing emotional or intimate moments involving eye contact

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to looking someone in the eyes or direct eye contact

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    theless
    -0.77
    olo
    -0.68
     Drum
    -0.64
    ymes
    -0.64
    atra
    -0.62
    Merit
    -0.62
     reusable
    -0.61
    lishes
    -0.60
    CCC
    -0.59
     techniques
    -0.57
    POSITIVE LOGITS
     gaze
    1.10
     eyes
    1.07
     stare
    1.00
     lens
    0.97
     stares
    0.96
     glance
    0.95
     smir
    0.94
     reflection
    0.92
     glare
    0.92
    ocular
    0.91
    Activations Density 0.269%

    No Known Activations