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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. 4-RES-JB
    11. 19562
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    Explanations

    mentions of orphan-related terms like "orphanage," "orphaned," and "orphans."

    oai_token-act-pair · gpt-3.5-turbo

    terms related to orphaned individuals and their status

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

    No Comments

    Negative Logits
    reens
    -0.86
    RT
    -0.80
    aeda
    -0.78
    ickr
    -0.73
    UD
    -0.72
    berman
    -0.71
     brim
    -0.70
    )=(
    -0.69
    bernatorial
    -0.68
    lished
    -0.68
    POSITIVE LOGITS
     orphan
    1.19
     orphans
    1.07
    phan
    0.81
    phans
    0.81
    sylvania
    0.80
    uary
    0.75
    ishly
    0.75
    hood
    0.74
     Icar
    0.73
     Annie
    0.73
    Activations Density 0.009%

    No Known Activations