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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 21851
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    Explanations

    phrases related to the presence and impact of CO2 in the atmosphere

    oai_token-act-pair · gpt-3.5-turbo

    references to carbon dioxide (CO2) and its implications for the environment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Brach
    -0.92
    lihood
    -0.87
    soever
    -0.74
    nikov
    -0.73
    nik
    -0.72
     Pry
    -0.70
     Kut
    -0.69
     NOTICE
    -0.68
    ions
    -0.68
     Judgment
    -0.65
    POSITIVE LOGITS
    OPER
    0.93
    INC
    0.87
    VO
    0.85
    CO
    0.85
    VERT
    0.84
    OL
    0.82
    ST
    0.80
    VEN
    0.80
    FF
    0.78
    urrency
    0.77
    Activations Density 0.010%

    No Known Activations