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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. 12-RES-JB
    11. 4513
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    Explanations

    emotional mentions related to eyes

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    references to the eyes, particularly in emotional or descriptive contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    assis
    -0.70
    backer
    -0.64
     benches
    -0.61
    quote
    -0.61
     redundancy
    -0.60
     PCB
    -0.60
     Yugoslav
    -0.60
     Bundes
    -0.60
     Byrne
    -0.59
     Polit
    -0.59
    POSITIVE LOGITS
    ight
    1.36
    ores
    1.09
     widen
    1.04
     watering
    1.00
     unfocused
    0.97
     widened
    0.96
     gazing
    0.95
     glued
    0.94
     dart
    0.93
     wide
    0.92
    Activations Density 0.040%

    No Known Activations