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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. 9-RES-JB
    11. 13147
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    Explanations

    phrases related to learning or knowledge acquisition

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the quantity of knowledge or information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ammers
    -0.66
     towed
    -0.65
    xtap
    -0.64
     Strikes
    -0.60
    ufact
    -0.57
    ioxide
    -0.56
     Rule
    -0.56
     hire
    -0.56
    hement
    -0.55
     perpetual
    -0.55
    POSITIVE LOGITS
     about
    1.30
     ABOUT
    1.27
    about
    1.17
     About
    1.11
    About
    1.03
     regarding
    0.87
     concerning
    0.81
     truths
    0.78
    ledge
    0.77
     respecting
    0.75
    Activations Density 0.170%

    No Known Activations