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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. 2-RES-JB
    6. 23818
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    Explanations

    phrases indicating division or splitting into parts

    oai_token-act-pair · gpt-3.5-turbo

    references to division or separation

    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
    ETS
    -0.77
    ECH
    -0.76
    ãĥīãĥ©
    -0.72
    ORTS
    -0.69
    ENA
    -0.69
    externalActionCode
    -0.69
     Waves
    -0.69
    oken
    -0.68
    Dur
    -0.68
    OD
    -0.68
    POSITIVE LOGITS
     divided
    1.03
     divides
    0.93
     divide
    0.84
    naire
    0.81
     divisions
    0.81
    rescent
    0.80
     dividing
    0.78
     fractions
    0.76
     strugg
    0.76
     polarized
    0.76
    Activations Density 0.014%

    No Known Activations