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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 24151
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    Explanations

    references to various locations, particularly Notre Dame and Niagara

    oai_token-act-pair · gpt-3.5-turbo

    references to the Notre Dame Cathedral and related locations

    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
    Rocket
    -0.74
     stroke
    -0.72
    */(
    -0.71
    è¦ļéĨĴ
    -0.70
    ULE
    -0.69
    prototype
    -0.69
    oted
    -0.68
    stroke
    -0.67
    orph
    -0.65
    ulators
    -0.64
    POSITIVE LOGITS
     Dame
    1.47
     Notre
    1.06
     mosqu
    0.96
    heastern
    0.93
     adolesc
    0.86
     mathemat
    0.82
    cipled
    0.76
     opio
    0.75
     veter
    0.74
    racuse
    0.73
    Activations Density 0.004%

    No Known Activations