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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. 11-RES-JB
    11. 4068
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to a "subject" or topic of discussion

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ATES
    -0.69
    olyn
    -0.66
    ereo
    -0.64
    zbek
    -0.64
    omp
    -0.62
    conn
    -0.61
    owicz
    -0.61
     Sons
    -0.61
    aft
    -0.61
    Ku
    -0.59
    POSITIVE LOGITS
    matter
    1.57
     matter
    1.42
    ivity
    1.25
    ivities
    1.21
     Matter
    1.20
    ivist
    1.14
    ivism
    1.01
     area
    0.93
    icals
    0.93
    ively
    0.92
    Activations Density 0.034%

    No Known Activations