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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. 9-RES-JB
    11. 5603
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    Explanations

    sentences related to cooperation or collaboration in various contexts such as government activities or naval operations

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to research and development initiatives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Weird
    -0.88
     Buzz
    -0.77
     Slate
    -0.77
     booze
    -0.76
     Creep
    -0.75
     TMZ
    -0.74
     Scream
    -0.73
     Gawker
    -0.73
     phony
    -0.72
     Philly
    -0.72
    POSITIVE LOGITS
     envis
    1.29
     fulfil
    1.07
     util
    1.05
     favourable
    0.99
     organis
    0.97
     endeavour
    0.96
     undertake
    0.95
     realise
    0.94
     emphas
    0.93
    respective
    0.92
    Activations Density 1.475%

    No Known Activations