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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. 4-RES-JB
    11. 1058
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    Explanations

    verbs related to maximizing or minimizing something

    oai_token-act-pair · gpt-3.5-turbo

    terms related to maximizing and minimizing outcomes or efficiencies

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

    No Comments

    Negative Logits
    BuyableInstoreAndOnline
    -0.90
    UGC
    -0.73
    Else
    -0.73
     Indigo
    -0.72
    landish
    -0.65
    RAW
    -0.65
     Attorney
    -0.65
    manship
    -0.64
    HOME
    -0.64
     Mistress
    -0.64
    POSITIVE LOGITS
    ization
    1.08
    illian
    1.07
    izes
    1.06
    icum
    1.05
    izations
    1.03
    ised
    1.00
    enaries
    0.99
    ized
    0.99
    ising
    0.97
     maxim
    0.97
    Activations Density 0.014%

    No Known Activations