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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. 3-RES-JB
    11. 22778
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    Explanations

    phrases related to meeting people

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "meet" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etheless
    -0.90
    vernment
    -0.78
    secut
    -0.76
    cul
    -0.75
    wcs
    -0.75
    ItemTracker
    -0.72
    uyomi
    -0.72
    culus
    -0.69
    Ĥİ
    -0.69
    ascus
    -0.69
    POSITIVE LOGITS
    amorph
    0.93
     Tanz
    0.85
     Meet
    0.83
    OTOS
    0.78
    yll
    0.76
    Meet
    0.76
     Valhalla
    0.75
    ropolis
    0.75
    ãĤ¤ãĥĪ
    0.73
    ilda
    0.70
    Activations Density 0.029%

    No Known Activations