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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. 7-RES-JB
    11. 7368
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    Explanations

    phrases beginning with "Should"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "Should" indicating questions or suggestions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    stood
    -0.75
    cule
    -0.67
     sclerosis
    -0.65
     Fra
    -0.63
    herer
    -0.63
     Patty
    -0.62
     Nationwide
    -0.62
    CI
    -0.60
     Puzzle
    -0.59
     ROS
    -0.58
    POSITIVE LOGITS
    ering
    1.05
    ered
    1.02
     be
    0.90
    erers
    0.82
    acus
    0.82
    berra
    0.81
    icum
    0.81
    uel
    0.80
    edi
    0.78
    bes
    0.78
    Activations Density 0.040%

    No Known Activations