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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. 2550
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    Explanations

    the word "carbon"

    oai_token-act-pair · gpt-3.5-turbo

    references to carbon and related environmental concepts

    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
    GBT
    -0.85
    DragonMagazine
    -0.80
     Psychiatric
    -0.78
    akings
    -0.78
    ---------------
    -0.77
    HCR
    -0.75
    ":["
    -0.71
     Niet
    -0.71
    udeb
    -0.71
    ERY
    -0.70
    POSITIVE LOGITS
     dioxide
    1.60
     fibre
    1.03
    ohydrate
    1.02
     fiber
    1.02
     emissions
    1.02
     emission
    0.93
     footprint
    0.93
     footprints
    0.91
     offsets
    0.89
     nitrogen
    0.85
    Activations Density 0.013%

    No Known Activations