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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. 24387
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    Explanations

    verbs related to discarding or getting rid of something

    oai_token-act-pair · gpt-3.5-turbo

    terms related to waste management and disposal

    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
    orsi
    -0.66
    apo
    -0.66
     Harding
    -0.66
     Pell
    -0.66
     Aless
    -0.64
    bole
    -0.64
     Bard
    -0.64
    iah
    -0.64
    ammed
    -0.62
     Hansen
    -0.61
    POSITIVE LOGITS
     dispos
    1.05
     dispose
    1.04
     disposed
    1.03
    itionally
    0.98
    ertation
    0.91
    itive
    0.90
    itions
    0.89
    itures
    0.88
    ables
    0.85
    itives
    0.80
    Activations Density 0.024%

    No Known Activations