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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. 14850
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    Explanations

    words related to rules, regulations, or criteria that need to be met

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to compliance and necessary conditions

    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
    rir
    -0.73
    lander
    -0.68
    love
    -0.63
    tein
    -0.63
    ORGE
    -0.63
    comment
    -0.62
     Laugh
    -0.62
    roup
    -0.61
    laugh
    -0.61
    eh
    -0.61
    POSITIVE LOGITS
     requirements
    3.53
     requirement
    2.76
     Requirements
    2.56
    Requirements
    1.83
     constraints
    1.78
     obligations
    1.78
     restrictions
    1.78
     specifications
    1.73
     criteria
    1.69
    requ
    1.64
    Activations Density 0.019%

    No Known Activations