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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. 4-RES-JB
    11. 20027
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    Explanations

    images and data in a scientific or astronomical context

    oai_token-act-pair · gpt-3.5-turbo

    references to images and data related to space observation

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

    No Comments

    Negative Logits
    Style
    -0.74
    Boss
    -0.69
    clus
    -0.68
    Stew
    -0.67
    Occup
    -0.66
    rule
    -0.66
    compl
    -0.64
     Libertarian
    -0.64
     Palestin
    -0.63
    osi
    -0.63
    POSITIVE LOGITS
     telescopes
    1.04
     Telescope
    1.02
     satellites
    0.95
     telescope
    0.94
     astronomers
    0.94
     infrared
    0.93
    rared
    0.93
    metry
    0.91
     radar
    0.90
    ocular
    0.89
    Activations Density 0.117%

    No Known Activations