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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. 21810
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    words related to complex scientific or technical concepts

    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
    ividual
    -0.53
    soDeliveryDate
    -0.52
    udeb
    -0.50
     Honour
    -0.49
    ilet
    -0.43
     CLSID
    -0.43
    inav
    -0.42
    avez
    -0.40
    elvet
    -0.40
    rollers
    -0.39
    POSITIVE LOGITS
    terness
    0.62
    etheless
    0.62
    staking
    0.56
    puff
    0.52
    theless
    0.50
    jee
    0.48
    worms
    0.48
    rics
    0.47
    stellar
    0.47
    terday
    0.47
    Activations Density 0.926%

    No Known Activations