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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. 7-RES-JB
    11. 12473
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    Explanations

    instances where attention or focus is directed towards something

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize the act of paying attention or the concept of paying in various contexts

    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
    ãĤ¬
    -0.69
    -----
    -0.69
     Archdemon
    -0.66
    ierre
    -0.65
    è¦ļéĨĴ
    -0.64
     Scotia
    -0.62
     Plain
    -0.60
    OPLE
    -0.60
    bum
    -0.60
    ------
    -0.59
    POSITIVE LOGITS
    checks
    1.01
     attention
    1.01
     dues
    0.98
     heed
    0.94
     homage
    0.92
     dearly
    0.90
     taxes
    0.83
     dividends
    0.83
    paying
    0.82
     tribute
    0.82
    Activations Density 0.045%

    No Known Activations