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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. 10-RES-JB
    11. 5517
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    Explanations

    phrases related to physical locations or positions

    oai_token-act-pair · gpt-3.5-turbo

    references to interviews and discussions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     constitu
    -0.59
    achev
    -0.59
     Franch
    -0.58
     Kinnikuman
    -0.54
     ALS
    -0.54
     Mormonism
    -0.54
     IMAGES
    -0.53
    maps
    -0.53
    etus
    -0.53
    fml
    -0.53
    POSITIVE LOGITS
    pees
    0.76
    pee
    0.74
    lie
    0.72
    ADRA
    0.71
    wait
    0.69
    Alert
    0.66
    uate
    0.65
    aroo
    0.65
    abouts
    0.65
    odox
    0.61
    Activations Density 0.097%

    No Known Activations