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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. 7-RES-JB
    6. 15441
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    Explanations

    abbreviations related to the term "MS"

    oai_token-act-pair · gpt-3.5-turbo

    references to Microsoft-related terms or products

    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
    rer
    -0.75
    ============
    -0.70
    rers
    -0.69
    redo
    -0.67
    footed
    -0.66
    ries
    -0.66
    ========
    -0.65
     happiest
    -0.64
     vind
    -0.62
     damned
    -0.62
    POSITIVE LOGITS
    RP
    1.18
    NBC
    1.07
    aunders
    0.99
    DOS
    0.93
    gt
    0.92
    AA
    0.88
    CL
    0.88
    VC
    0.85
    essor
    0.84
    DN
    0.83
    Activations Density 0.029%

    No Known Activations