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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. 6-RES-JB
    11. 14469
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    Explanations

    references to satellite technology

    oai_token-act-pair · gpt-3.5-turbo

    references to satellite imagery and data

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    utenberg
    -0.98
    ername
    -0.78
    erity
    -0.78
    @#&
    -0.77
    rued
    -0.76
    ership
    -0.76
    uca
    -0.75
    erenn
    -0.73
    stract
    -0.73
    tm
    -0.72
    POSITIVE LOGITS
     monitors
    0.88
     satellites
    0.87
     Satellite
    0.87
     galaxies
    0.86
     antennas
    0.85
     orbiting
    0.84
     antenna
    0.83
     launchers
    0.83
     monitor
    0.81
     imagery
    0.81
    Activations Density 0.027%

    No Known Activations