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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. 4-RES-JB
    11. 14610
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    Explanations

    words related to memory and memorabilia

    oai_token-act-pair · gpt-3.5-turbo

    terms related to memory and memorization

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

    No Comments

    Negative Logits
    IRO
    -0.70
    OPLE
    -0.67
    OHN
    -0.65
     Bourbon
    -0.64
     Syrians
    -0.63
    roxy
    -0.61
    Conclusion
    -0.60
     Simulator
    -0.59
     ACS
    -0.59
     Alternative
    -0.58
    POSITIVE LOGITS
    abilia
    1.67
     memor
    1.12
    ographed
    1.05
    ized
    1.04
    ably
    1.01
    icol
    1.00
    ific
    0.99
    istically
    0.97
    brance
    0.96
    ruction
    0.95
    Activations Density 0.010%

    No Known Activations