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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. 7-RES-JB
    11. 22654
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    INDEX
    Explanations

    descriptive phrases mentioning various elements or characteristics

    oai_token-act-pair · gpt-3.5-turbo

    elements of absurd or humorous situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     OT
    -0.74
     Response
    -0.70
    Recommend
    -0.69
     Correct
    -0.69
     Topic
    -0.68
    Statement
    -0.66
     Specific
    -0.66
     Forward
    -0.64
    Panel
    -0.63
     MFT
    -0.63
    POSITIVE LOGITS
     throb
    0.85
     perched
    0.85
     perpetually
    0.77
     irresistible
    0.77
     gorge
    0.76
     lov
    0.75
     gle
    0.75
     unforgettable
    0.75
     delight
    0.75
     mesmer
    0.74
    Activations Density 1.634%

    No Known Activations