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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. 4818
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    Explanations

    names of specific individuals, likely related to sports and media

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns related to notable individuals, particularly in sports and entertainment

    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
     DRAGON
    -0.82
    Py
    -0.80
    RED
    -0.79
    Dragon
    -0.79
     orb
    -0.79
    ende
    -0.78
     capsules
    -0.75
     cube
    -0.74
    ubi
    -0.73
     UX
    -0.72
    POSITIVE LOGITS
     Carey
    2.95
     Hayes
    2.52
     Hayden
    1.72
     Higgins
    1.69
     Weber
    1.66
     Gallagher
    1.65
    Hay
    1.58
     Bray
    1.54
     Aust
    1.50
     Michaels
    1.50
    Activations Density 0.040%

    No Known Activations