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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. 1-RES-JB
    11. 23192
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    Explanations

    words related to a specific location or entity named "Niagara" and also some names related to companies or places

    oai_token-act-pair · gpt-3.5-turbo

    references to the Niagara region and its associated events or features

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĪĴ
    -0.86
    ogether
    -0.83
    quartered
    -0.82
    iat
    -0.80
    vertisement
    -0.79
    boxing
    -0.74
    etime
    -0.74
    eties
    -0.74
    tarian
    -0.73
    ong
    -0.73
    POSITIVE LOGITS
     Falls
    0.86
     Edison
    0.82
     Niagara
    0.82
     Fib
    0.77
     casc
    0.73
    YP
    0.73
     Protocol
    0.73
    20439
    0.72
     Curve
    0.71
    Rated
    0.71
    Activations Density 0.032%

    No Known Activations