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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. 6-RES-JB
    6. 13365
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    INDEX
    Explanations

    phrases related to common occurrences or situations

    oai_token-act-pair · gpt-3.5-turbo

    references to frequency or prevalence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mosp
    -0.96
    zik
    -0.79
    usalem
    -0.78
    endas
    -0.74
    olation
    -0.72
    overe
    -0.71
    thur
    -0.71
     fres
    -0.70
    oÄŁ
    -0.70
    ynthesis
    -0.70
    POSITIVE LOGITS
    wealth
    1.23
    places
    1.06
     denomin
    1.04
    alities
    1.04
    ality
    1.01
     occurrence
    0.96
     occurrences
    0.93
     ancestor
    0.87
    ensical
    0.85
    place
    0.83
    Activations Density 0.028%

    No Known Activations