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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. 3-RES-JB
    11. 5077
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    Explanations

    words related to disposal or getting rid of something

    oai_token-act-pair · gpt-3.5-turbo

    terms related to waste disposal and management

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    apa
    -0.71
     Pell
    -0.71
    orsi
    -0.69
    apo
    -0.67
    arta
    -0.66
     Carney
    -0.66
    ammed
    -0.64
    iah
    -0.63
     Berk
    -0.61
     Tah
    -0.61
    POSITIVE LOGITS
     disposed
    1.08
     dispose
    1.07
    ertation
    0.95
     dispos
    0.93
    itionally
    0.93
    ables
    0.90
    itions
    0.86
    itures
    0.84
     rall
    0.81
    IED
    0.79
    Activations Density 0.007%

    No Known Activations