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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. 4-RES-JB
    11. 15850
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    INDEX
    Explanations

    occurrences where something is mandated, obligatory, or necessary

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate necessity or obligation

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

    No Comments

    Negative Logits
    vironment
    -0.87
    cow
    -0.75
     Mouth
    -0.72
     Mood
    -0.72
    imir
    -0.71
    ells
    -0.70
    bench
    -0.66
    oleon
    -0.66
     Mem
    -0.65
    assuming
    -0.65
    POSITIVE LOGITS
     introdu
    0.79
     redund
    0.79
     obe
    0.78
     unanim
    0.77
     disclosures
    0.76
     aback
    0.76
     repairs
    0.76
     prerequisite
    0.76
     complying
    0.76
     inspections
    0.75
    Activations Density 0.022%

    No Known Activations