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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. 318
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    INDEX
    Explanations

    phrases related to sports events like championships

    oai_token-act-pair · gpt-3.5-turbo

    references to various championships

    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
    gun
    -0.75
    veh
    -0.68
     Lank
    -0.68
    bart
    -0.64
    est
    -0.62
    bull
    -0.62
    TE
    -0.62
    gotten
    -0.61
    hearted
    -0.61
    Bey
    -0.59
    POSITIVE LOGITS
     Championships
    1.16
    bledon
    1.00
     Finals
    0.92
    halla
    0.91
    chwitz
    0.87
    é¾įå¥ij士
    0.86
    daq
    0.84
     championships
    0.83
     challeng
    0.83
     Tournament
    0.80
    Activations Density 0.014%

    No Known Activations