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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
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    Explanations

    references to carbon dioxide (CO2) concentrations and their impact on the environment

    oai_token-act-pair · gpt-3.5-turbo

    references to carbon dioxide (CO2) 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 @ 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
    lihood
    -0.95
     Brach
    -0.87
    ions
    -0.72
    soever
    -0.71
     Pry
    -0.70
    nik
    -0.70
    nikov
    -0.68
    saf
    -0.68
     Cantor
    -0.66
    oku
    -0.66
    POSITIVE LOGITS
    CO
    0.90
    VO
    0.88
    OPER
    0.83
    VERT
    0.81
    CHR
    0.80
     CO
    0.80
    INC
    0.79
    verage
    0.78
    VERS
    0.77
    ogie
    0.77
    Activations Density 0.011%

    No Known Activations