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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. 12-RES-JB
    11. 3752
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    INDEX
    Explanations

    mentions of strict rules, regulations, or interpretations

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    references to strict regulations or interpretations related to laws or codes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    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
    ̶
    -0.68
    NetMessage
    -0.66
     knowingly
    -0.64
     Millions
    -0.63
     Pwr
    -0.60
    apter
    -0.60
     Retrieved
    -0.59
    amsung
    -0.59
     abruptly
    -0.58
     trillions
    -0.58
    POSITIVE LOGITS
    ures
    1.30
     adherence
    1.02
    ure
    0.98
     discipl
    0.84
     enforcement
    0.82
    ness
    0.82
    est
    0.80
     guidelines
    0.78
    nesses
    0.78
    urity
    0.78
    Activations Density 0.085%

    No Known Activations