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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. 0-RES-JB
    6. 24513
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    INDEX
    Explanations

    references to cages

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "cage" and its related concepts

    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
     Grad
    -0.72
     Hur
    -0.70
    properties
    -0.69
    appropri
    -0.68
    hur
    -0.67
     Redd
    -0.67
     MLA
    -0.66
     Relief
    -0.66
    lly
    -0.65
     Kot
    -0.64
    POSITIVE LOGITS
     cage
    3.90
     cages
    3.09
     Cage
    1.61
     enclosure
    1.58
     fence
    1.28
     crate
    1.19
     fences
    1.08
     leash
    1.07
     feather
    1.03
     compartment
    1.01
    Activations Density 0.011%

    No Known Activations