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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. 11-RES-JB
    11. 6027
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    Explanations

    keywords related to technical terms like "encapsulation," "architectural design," and "precision."

    oai_token-act-pair · gpt-3.5-turbo

    certain words and phrases related to geographic and structural references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lay
    -0.62
    amera
    -0.62
    immer
    -0.61
    repl
    -0.59
    ¾
    -0.57
    iera
    -0.57
    ret
    -0.57
    set
    -0.57
    leaders
    -0.56
    shaw
    -0.56
    POSITIVE LOGITS
     Vs
    0.65
     &
    0.61
     Opportun
    0.57
     Inspired
    0.57
     Versus
    0.56
     Books
    0.56
    âĦ¢:
    0.56
     Flavoring
    0.56
     beware
    0.55
     Printed
    0.55
    Activations Density 0.666%

    No Known Activations