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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. 1-RES-JB
    11. 1036
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    Explanations

    references to living situations or conditions

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "living" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    EStream
    -0.91
    gomery
    -0.81
    osa
    -0.76
    ahn
    -0.76
    thodox
    -0.73
    ophical
    -0.73
    uyomi
    -0.72
    elight
    -0.72
    onal
    -0.72
    iferation
    -0.71
    POSITIVE LOGITS
     Wage
    1.04
    living
    1.00
     living
    0.95
    Living
    0.94
     liv
    0.91
     Living
    0.88
    lihood
    0.84
    brates
    0.77
     wage
    0.77
     Rooms
    0.77
    Activations Density 0.018%

    No Known Activations