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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. 3-RES-JB
    11. 20378
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    Explanations

    phrases related to being enthusiasts or having a strong interest in a particular topic

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals or groups who are passionate about various hobbies or interests

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥĥãĥī
    -0.67
     Pesh
    -0.66
    enthal
    -0.66
     Walls
    -0.63
    Kar
    -0.62
     Dome
    -0.62
     Kund
    -0.61
     Kabul
    -0.61
     Afghanistan
    -0.60
    lining
    -0.59
    POSITIVE LOGITS
     enthusiasts
    0.93
     enthusiast
    0.86
     hobby
    0.83
    ateurs
    0.76
    ateur
    0.76
    hip
    0.75
    conservancy
    0.75
     racer
    0.75
    icion
    0.75
     gamers
    0.74
    Activations Density 0.010%

    No Known Activations