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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. 9-RES-JB
    11. 17163
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    Explanations

    references to someone being alive, often in various contexts or scenarios

    oai_token-act-pair · gpt-3.5-turbo

    references to being alive

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    RECT
    -0.68
    arov
    -0.65
    cipl
    -0.65
    soDeliveryDate
    -0.61
    é¾įå
    -0.60
    pled
    -0.60
    ãĥĩ
    -0.59
    agree
    -0.59
    ciples
    -0.59
    addy
    -0.59
    POSITIVE LOGITS
    lihood
    1.02
    lier
    0.87
    abouts
    0.86
    weight
    0.77
    nces
    0.74
    spin
    0.72
    mares
    0.71
     alive
    0.71
    terday
    0.70
     Invaders
    0.69
    Activations Density 0.045%

    No Known Activations