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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 2-RES-JB
    11. 5721
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    INDEX
    Explanations

    phrases related to minimizing or maximizing something

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to minimizing or maximizing outcomes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    RESULTS
    -0.83
     Attorney
    -0.73
    VIDEO
    -0.72
     Cuomo
    -0.71
    PRES
    -0.69
     Principle
    -0.67
     Cadillac
    -0.67
    lace
    -0.66
    lihood
    -0.66
    GROUND
    -0.64
    POSITIVE LOGITS
    isations
    1.43
    isation
    1.34
    ised
    1.31
    ising
    1.27
    ises
    1.24
    isers
    1.23
    izations
    1.22
    izes
    1.19
    ise
    1.16
    ization
    1.16
    Activations Density 0.021%

    No Known Activations