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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 20637
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    INDEX
    Explanations

    specific actions like reading, watching, examining, and talking

    oai_token-act-pair · gpt-3.5-turbo

    actions that involve reading, watching, or reviewing content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    essert
    -0.68
    Els
    -0.67
    equal
    -0.65
     harbour
    -0.65
    amen
    -0.63
    interstitial
    -0.62
    arded
    -0.62
     unfairly
    -0.62
    Enjoy
    -0.59
    IVE
    -0.58
    POSITIVE LOGITS
    hran
    0.68
     foregoing
    0.67
     assurances
    0.67
    ¿½
    0.64
     acquaint
    0.62
    romy
    0.61
    reports
    0.60
    math
    0.59
     KH
    0.59
     KS
    0.59
    Activations Density 0.491%

    No Known Activations