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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. 1-RES-JB
    11. 382
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    Explanations

    words related to distraction or diversions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to distractions and diversions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eta
    -0.91
    abol
    -0.75
    arching
    -0.74
    aws
    -0.72
    ept
    -0.69
    missions
    -0.69
    imar
    -0.68
    ergy
    -0.68
    liam
    -0.68
    ells
    -0.67
    POSITIVE LOGITS
     distraction
    1.09
     distractions
    1.01
     seiz
    0.85
    ãĤ¹ãĥĪ
    0.81
    channelAvailability
    0.77
     attRot
    0.77
    olicy
    0.76
     disadvant
    0.72
    wcs
    0.72
     awa
    0.70
    Activations Density 0.009%

    No Known Activations