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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. 7-RES-JB
    11. 20789
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    INDEX
    Explanations

    mentions of the element "carbon"

    oai_token-act-pair · gpt-3.5-turbo

    references to carbon and its environmental impact

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Niet
    -0.77
     Psychiatric
    -0.75
    GBT
    -0.74
    akings
    -0.70
    HCR
    -0.70
    udeb
    -0.69
    ---------------
    -0.69
    ERS
    -0.68
    ERY
    -0.67
    swer
    -0.66
    POSITIVE LOGITS
     dioxide
    1.64
     fiber
    1.01
     fibre
    1.01
    ohydrate
    0.99
     offsets
    0.95
    aceous
    0.92
     footprint
    0.90
     emissions
    0.90
     footprints
    0.89
     nitrogen
    0.87
    Activations Density 0.022%

    No Known Activations