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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 10406
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    Explanations

    text related to dental care and hygiene

    oai_token-act-pair · gpt-3.5-turbo

    terms related to dental health and hygiene

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arters
    -0.75
    Agent
    -0.75
     Alic
    -0.75
     Archdemon
    -0.72
     Osw
    -0.71
    aird
    -0.70
     Santos
    -0.69
    icipated
    -0.67
    erial
    -0.65
    imov
    -0.64
    POSITIVE LOGITS
    paste
    1.31
    pick
    1.18
    brush
    1.17
     teeth
    1.08
    bone
    1.07
     tooth
    1.05
     cavity
    0.97
    bite
    0.94
     brushing
    0.93
    ache
    0.93
    Activations Density 0.016%

    No Known Activations