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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. 3304
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    Explanations

    references to the element "carbon" and related terms

    oai_token-act-pair · gpt-3.5-turbo

    mentions of carbon-related terms

    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
     Niet
    -0.74
     Psychiatric
    -0.70
     Order
    -0.69
    ERS
    -0.69
    GBT
    -0.68
    ---------------
    -0.68
    doms
    -0.67
    gery
    -0.66
    ERY
    -0.66
    mir
    -0.64
    POSITIVE LOGITS
     dioxide
    1.68
    aceous
    1.16
    ohydrate
    1.10
     fibre
    1.06
     fiber
    1.03
     offsets
    0.98
    ohyd
    0.98
    ioxide
    0.96
     footprint
    0.94
     emissions
    0.93
    Activations Density 0.024%

    No Known Activations