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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
    11. 13952
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    INDEX
    Explanations

    phrases related to centralized locations or facilities

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of centers

    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
    ppelin
    -0.72
    alogue
    -0.68
    bie
    -0.68
     HM
    -0.65
    avour
    -0.65
    endment
    -0.64
    vern
    -0.64
     Honour
    -0.63
    bye
    -0.62
     deed
    -0.61
    POSITIVE LOGITS
     centers
    4.01
     centres
    3.46
     center
    2.41
     Centers
    1.93
    center
    1.84
     centre
    1.82
     hubs
    1.78
    Center
    1.70
     Center
    1.59
     clinics
    1.38
    Activations Density 0.023%

    No Known Activations