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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 8570
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    INDEX
    Explanations

    phrases related to intensity or extreme situations

    oai_token-act-pair · gpt-3.5-turbo

    references to various states of being or conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Bene
    -0.52
    pired
    -0.49
    owler
    -0.49
     Dani
    -0.48
    encers
    -0.48
     Photograph
    -0.47
     dstg
    -0.46
    Built
    -0.46
    icators
    -0.46
    rix
    -0.46
    POSITIVE LOGITS
    livion
    0.64
     conclud
    0.61
     obscurity
    0.54
    dos
    0.54
     limb
    0.52
     defences
    0.51
     wilderness
    0.51
     difficulties
    0.50
     productive
    0.50
     defenses
    0.50
    Activations Density 1.455%

    No Known Activations