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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. 6-RES-JB
    6. 10281
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    Explanations

    technical terms related to software or system environments

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of environments, particularly in software or technical contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    headed
    -0.92
    sonian
    -0.91
    heading
    -0.90
    thood
    -0.89
    doms
    -0.88
    head
    -0.86
    der
    -0.84
    mad
    -0.83
    uster
    -0.80
    awar
    -0.80
    POSITIVE LOGITS
     environments
    0.95
     environment
    0.95
     variables
    0.89
     conducive
    0.85
     Environment
    0.83
     variable
    0.80
     conditions
    0.79
    Variable
    0.78
     atmosp
    0.74
    eers
    0.73
    Activations Density 0.036%

    No Known Activations