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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. 11-RES-JB
    11. 13001
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    Explanations

    phrases related to the conversion of substances or materials

    oai_token-act-pair · gpt-3.5-turbo

    terms related to biochemical processes and conversions involving energy production

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cens
    -0.77
     omission
    -0.74
    odore
    -0.72
    Luck
    -0.64
     Scrib
    -0.64
     Rollins
    -0.63
    pause
    -0.63
    Tracker
    -0.62
     Delay
    -0.62
    wik
    -0.62
    POSITIVE LOGITS
     usable
    1.25
     fertilizer
    1.06
     fertil
    0.94
     fuel
    0.93
     useful
    0.93
     viable
    0.91
     fuels
    0.90
     edible
    0.87
     sust
    0.86
     nutrients
    0.86
    Activations Density 0.305%

    No Known Activations