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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. 14185
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    INDEX
    Explanations

    phrases related to various industries and commodities

    oai_token-act-pair · gpt-3.5-turbo

    keywords related to consumption and market trends

    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
     english
    -0.79
    hent
    -0.78
     Trials
    -0.67
     Mock
    -0.66
     Correct
    -0.64
     satirical
    -0.63
    English
    -0.63
     XD
    -0.62
     Trial
    -0.61
     Lights
    -0.61
    POSITIVE LOGITS
     disproportionately
    1.13
     trillions
    1.02
     disproportion
    0.99
     inefficient
    0.99
     commodity
    0.98
     billions
    0.93
     unsustainable
    0.93
     unavoid
    0.93
     scarce
    0.92
     increasingly
    0.92
    Activations Density 0.982%

    No Known Activations