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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. 11-RES-JB
    11. 160
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    INDEX
    Explanations

    mentions or indications of something becoming a significant entity or achieving prominence

    oai_token-act-pair · gpt-3.5-turbo

    references to new entities or notable developments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    merce
    -0.80
    rodu
    -0.77
    hm
    -0.74
    rir
    -0.73
    abilities
    -0.73
    soDeliveryDate
    -0.70
    mares
    -0.69
    rett
    -0.66
    Downloadha
    -0.65
     Provided
    -0.64
    POSITIVE LOGITS
     envy
    1.21
     centerpiece
    1.07
     focal
    1.06
     nucleus
    1.03
     catalyst
    1.00
     basis
    0.94
     norm
    0.92
     subject
    0.87
     cornerstone
    0.87
     scapego
    0.86
    Activations Density 0.112%

    No Known Activations