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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. 6-RES-JB
    11. 11757
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    Explanations

    sudden events or changes

    oai_token-act-pair · gpt-3.5-turbo

    references to sudden events or occurrences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    adr
    -0.78
    ©¶æ
    -0.77
     Journals
    -0.72
    rio
    -0.71
    models
    -0.70
    rador
    -0.70
    ĺħ
    -0.69
    ISON
    -0.69
    isans
    -0.69
    eering
    -0.68
    POSITIVE LOGITS
    aneously
    1.30
    aneous
    0.96
     departure
    0.92
     influx
    0.92
    ness
    0.88
     onset
    0.86
     bursts
    0.81
     death
    0.79
     succession
    0.78
     wave
    0.78
    Activations Density 0.024%

    No Known Activations