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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. 6698
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    Explanations

    the names of cities

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "in" used to describe locations or contexts

    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
    untled
    -0.74
    OTH
    -0.73
    ALSE
    -0.66
    EngineDebug
    -0.66
    lement
    -0.66
    amas
    -0.64
    lamm
    -0.64
     contag
    -0.64
    mil
    -0.62
    killed
    -0.62
    POSITIVE LOGITS
     regards
    1.07
    ordinate
    1.01
    efficiency
    0.99
    roads
    0.96
    clusions
    0.89
    animate
    0.88
     favor
    0.87
    offensive
    0.86
     tandem
    0.85
     terms
    0.85
    Activations Density 0.238%

    No Known Activations