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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. 18041
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    Explanations

    references to specific entities or locations, particularly those related to legal, educational, or geographical contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "Fair" and its related contexts

    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
    OPLE
    -0.72
     bottleneck
    -0.68
     heck
    -0.67
    CHAT
    -0.61
    apse
    -0.59
     headache
    -0.57
    omez
    -0.56
     Anonymous
    -0.56
     Ion
    -0.56
     headaches
    -0.56
    POSITIVE LOGITS
    grounds
    1.41
    child
    1.18
    banks
    1.10
    yt
    1.03
    ground
    1.01
    fair
    1.00
    fax
    0.93
    gra
    0.91
    mont
    0.91
    weather
    0.90
    Activations Density 0.028%

    No Known Activations