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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. 8671
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    Explanations

    phrases related to daily care activities or services

    oai_token-act-pair · gpt-3.5-turbo

    keywords related to care and caregiving

    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
    uay
    -0.74
    actionDate
    -0.74
    qus
    -0.69
    ãĤ¨ãĥ«
    -0.66
    rero
    -0.65
    66666666
    -0.64
    Entity
    -0.64
    enhagen
    -0.64
    ipedia
    -0.63
    DN
    -0.63
    POSITIVE LOGITS
     specials
    0.99
     festivities
    0.90
    endment
    0.78
    endars
    0.77
     curfew
    0.75
     reckoning
    0.74
     anniversary
    0.73
     schedule
    0.72
    idays
    0.70
     calendars
    0.68
    Activations Density 0.610%

    No Known Activations