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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. 1-RES-JB
    11. 21682
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    Explanations

    phrases related to value or importance

    oai_token-act-pair · gpt-3.5-turbo

    references to value or worth in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Plain
    -0.77
     Nou
    -0.70
     Sierra
    -0.68
     Pixel
    -0.68
     Bus
    -0.67
     Block
    -0.61
     Jude
    -0.61
     Cats
    -0.61
     Blaz
    -0.61
     Highlands
    -0.61
    POSITIVE LOGITS
     worth
    1.17
    worth
    1.03
    iness
    0.93
    daq
    0.89
    owship
    0.87
    umen
    0.84
    entimes
    0.84
    entin
    0.84
    merce
    0.83
    trade
    0.83
    Activations Density 0.014%

    No Known Activations