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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. 1-RES-JB
    6. 3010
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    INDEX
    Explanations

    references to a particular organization or entity denoted as "GA" along with different numerical values

    oai_token-act-pair · gpt-3.5-turbo

    references to GA (General Assembly or another relevant organization)

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enegger
    -1.01
    lihood
    -0.77
    ology
    -0.76
    ologists
    -0.72
     Chomsky
    -0.71
    landish
    -0.70
     Corbyn
    -0.69
    entially
    -0.68
     Kardashian
    -0.68
    Else
    -0.68
    POSITIVE LOGITS
     GA
    1.13
    vernment
    1.04
    UGE
    1.00
    GA
    0.95
    ZA
    0.92
    FF
    0.81
    IL
    0.80
    VE
    0.77
    VA
    0.76
    BA
    0.76
    Activations Density 0.004%

    No Known Activations