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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. 10-RES-JB
    6. 21888
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    Explanations

    proper nouns or names of companies or products

    oai_token-act-pair · gpt-3.5-turbo

    possessive pronouns and phrases indicating ownership or release of products

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     thereof
    -0.81
    webkit
    -0.73
    cells
    -0.70
     situations
    -0.69
     behaves
    -0.69
    sheets
    -0.68
     circumstances
    -0.66
    embed
    -0.65
     suffice
    -0.65
     passages
    -0.64
    POSITIVE LOGITS
     newest
    1.40
     latest
    1.21
     own
    1.16
     inaugural
    1.15
     first
    1.07
     fifth
    1.07
     fourth
    1.06
     sixth
    1.03
     flagship
    1.03
     triumphant
    1.01
    Activations Density 0.252%

    No Known Activations