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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. 3-RES-JB
    11. 3482
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    Explanations

    references to the season of Spring

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Spring"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     scrolling
    -0.77
    paio
    -0.73
    iasis
    -0.72
     newsp
    -0.70
    hiba
    -0.70
    orean
    -0.69
    İĭ
    -0.67
    phabet
    -0.66
     controlled
    -0.64
    pez
    -0.64
    POSITIVE LOGITS
    steen
    1.19
    dale
    1.01
     Arbor
    0.99
    brook
    0.95
    lings
    0.91
    meier
    0.87
    mary
    0.86
    trap
    0.85
     Spring
    0.82
    Board
    0.82
    Activations Density 0.004%

    No Known Activations