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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. 7-RES-JB
    11. 169
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    Explanations

    words related to specific names and proper nouns, particularly those with 'Krz' or 'zan'

    oai_token-act-pair · gpt-3.5-turbo

    names of people or surnames

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    UCT
    -0.77
    Demand
    -0.71
    Condition
    -0.66
     distraction
    -0.65
    idepress
    -0.64
    riott
    -0.62
    itious
    -0.61
    earchers
    -0.61
     AQ
    -0.60
    Decre
    -0.60
    POSITIVE LOGITS
    ewski
    1.14
    inski
    1.12
    zynski
    1.08
    owski
    1.01
    oslav
    1.00
    nik
    0.93
    itzer
    0.91
    ovsky
    0.87
    chev
    0.87
    insky
    0.86
    Activations Density 0.192%

    No Known Activations