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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. 18474
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    Explanations

    specific mentions of the greenhouse gas CO2

    oai_token-act-pair · gpt-3.5-turbo

    references to carbon dioxide (CO2) in various contexts

    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
    lihood
    -0.91
     Judgment
    -0.73
     Brach
    -0.72
     Cantor
    -0.70
    ifications
    -0.70
     Pry
    -0.69
     Kod
    -0.69
    istical
    -0.68
    soever
    -0.67
    ions
    -0.66
    POSITIVE LOGITS
    VO
    1.16
    OPER
    1.07
    OL
    1.02
    INC
    1.00
    VEN
    1.00
    VERT
    0.99
    ST
    0.98
    LL
    0.98
    GS
    0.96
    VER
    0.94
    Activations Density 0.022%

    No Known Activations