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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. 0-RES-JB
    11. 454
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    INDEX
    Explanations

    mentions of the company "Tata"

    oai_token-act-pair · gpt-3.5-turbo

    references to the Tata group and phrases related to differentials in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Hancock
    -0.86
     Elys
    -0.71
     rogue
    -0.69
    erate
    -0.68
     Scrib
    -0.67
     Thr
    -0.67
    woods
    -0.66
     addict
    -0.66
     surfing
    -0.65
     swearing
    -0.65
    POSITIVE LOGITS
     Tata
    2.85
     differential
    1.90
     Thatcher
    1.28
     cylinders
    1.12
     BST
    1.11
     Fiat
    1.07
     cater
    1.07
     Sheffield
    1.05
     Jaw
    0.99
     Yorkshire
    0.97
    Activations Density 0.058%

    No Known Activations