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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. 0-RES-JB
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    references to elevators

    oai_token-act-pair · gpt-3.5-turbo

    references to elevators

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     monk
    -0.84
    ften
    -0.79
    olkien
    -0.73
    ãĤ´
    -0.72
    nl
    -0.70
     Copenhagen
    -0.70
    STER
    -0.70
    gery
    -0.70
     Naruto
    -0.69
    ãĥ£
    -0.69
    POSITIVE LOGITS
     elevator
    2.01
     Andrea
    1.90
     elev
    1.75
     Vince
    1.37
     Elev
    1.16
     EE
    1.15
     Equal
    1.14
     Oxy
    1.05
    requ
    1.00
     Shapiro
    0.98
    Activations Density 0.056%

    No Known Activations