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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. 7-RES-JB
    6. 16401
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    Explanations

    phrases related to locations such as cities, countries, businesses, or geographical features

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "including" and phrases related to significant global issues

    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
    enary
    -0.73
    orem
    -0.68
    inar
    -0.66
    irie
    -0.65
    riage
    -0.64
    sburg
    -0.63
    ery
    -0.61
    ISION
    -0.61
    uto
    -0.60
    ulus
    -0.60
    POSITIVE LOGITS
     although
    1.23
     albeit
    1.20
     including
    1.18
     includ
    1.12
     culminating
    1.09
     whereas
    1.07
     notably
    1.06
     but
    1.01
     though
    1.00
     prompting
    0.98
    Activations Density 0.402%

    No Known Activations