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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. 4066
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    INDEX
    Explanations

    historical terms or references

    oai_token-act-pair · gpt-3.5-turbo

    references or mentions of historians

    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
    PLIED
    -0.78
    backer
    -0.69
     schooling
    -0.69
    Tube
    -0.67
     [];
    -0.66
     learning
    -0.65
    ateral
    -0.64
    flix
    -0.64
    llah
    -0.64
    CLASSIFIED
    -0.63
    POSITIVE LOGITS
    orical
    1.50
    orically
    1.48
    oric
    1.26
    orians
    1.17
    orian
    1.08
    Hist
    1.00
    alog
    1.00
    ogram
    0.98
    orie
    0.95
    rist
    0.93
    Activations Density 0.011%

    No Known Activations