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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. 10-RES-JB
    11. 16332
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    INDEX
    Explanations

    information about events or conferences with high participation or diverse speakers

    oai_token-act-pair · gpt-3.5-turbo

    events, conferences, and participation details

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    agate
    -0.77
    ridges
    -0.73
    olester
    -0.70
    TPS
    -0.69
    isec
    -0.69
    itis
    -0.69
    achment
    -0.68
    Closure
    -0.67
    WAYS
    -0.66
    idation
    -0.66
    POSITIVE LOGITS
     representatives
    1.18
     guests
    1.14
     comedians
    1.14
     diverse
    1.13
     exhib
    1.09
     contestants
    1.06
     speakers
    1.03
     eclectic
    1.02
     perspectives
    1.02
     musicians
    1.02
    Activations Density 0.722%

    No Known Activations