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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. 20782
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    Explanations

    words related to laboratory settings and equipment

    oai_token-act-pair · gpt-3.5-turbo

    references to laboratory settings or lab-related terms

    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
     nerv
    -0.65
     Supporters
    -0.62
     church
    -0.60
    lihood
    -0.60
     Voters
    -0.58
     Masquerade
    -0.57
    abouts
    -0.57
     impunity
    -0.56
     Immunity
    -0.55
    theless
    -0.55
    POSITIVE LOGITS
    rador
    1.58
    yrinth
    1.48
    elling
    1.28
    orer
    1.22
    elled
    1.17
    orers
    1.15
    eled
    1.01
    orously
    1.01
    ours
    1.00
    orde
    0.94
    Activations Density 0.047%

    No Known Activations