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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. 4-RES-JB
    11. 1708
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    Explanations

    references to articles or related content

    oai_token-act-pair · gpt-3.5-turbo

    references to articles

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

    No Comments

    Negative Logits
    cffffcc
    -0.75
    pter
    -0.72
     Guard
    -0.64
    rolet
    -0.62
    ISA
    -0.61
     Rover
    -0.59
     Rhythm
    -0.57
     teenager
    -0.57
     lone
    -0.57
     Predators
    -0.57
    POSITIVE LOGITS
    uggest
    1.02
     articles
    1.00
     Articles
    0.98
    meal
    0.86
    poons
    0.83
    ongs
    0.82
    ettings
    0.80
    hops
    0.79
    mith
    0.79
    linger
    0.78
    Activations Density 0.033%

    No Known Activations