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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. 1368
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to various types of laws and legal violations

    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
     sho
    -0.62
    onym
    -0.61
    ometric
    -0.60
    alys
    -0.58
    ollar
    -0.58
     nut
    -0.57
    Module
    -0.57
     keyword
    -0.57
    ãĤ±
    -0.56
     fold
    -0.56
    POSITIVE LOGITS
    planes
    0.92
    rooms
    0.91
    pieces
    0.85
    flows
    0.83
    places
    0.81
    utics
    0.80
    smanship
    0.80
    phia
    0.79
    dates
    0.78
    livion
    0.77
    Activations Density 0.465%

    No Known Activations