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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. 9-RES-JB
    11. 8677
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    Explanations

    mentions of governmental or official organizations, departments, or strategies

    oai_token-act-pair · gpt-3.5-turbo

    phrases connected to governmental departments and organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ¬¼
    -0.81
    ģĸ
    -0.73
    andowski
    -0.61
    è¦ļéĨĴ
    -0.59
     entirety
    -0.58
    ally
    -0.56
    ynski
    -0.55
     experien
    -0.54
     nowhere
    -0.53
    orph
    -0.53
    POSITIVE LOGITS
     namely
    0.75
     albeit
    0.73
     including
    0.72
    Magikarp
    0.71
     but
    0.70
    trak
    0.67
    culture
    0.67
    Mail
    0.66
    Balt
    0.64
     however
    0.64
    Activations Density 0.291%

    No Known Activations