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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. 3-RES-JB
    11. 3591
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    Explanations

    phrases related to flying or flight

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to flying objects or vehicles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥ¤
    -0.78
    liga
    -0.77
     Wem
    -0.75
    xy
    -0.74
    xus
    -0.73
    essee
    -0.71
    ortium
    -0.70
    ItemTracker
    -0.70
    uary
    -0.69
    ère
    -0.69
    POSITIVE LOGITS
    plane
    0.93
     reptiles
    0.90
     Sau
    0.87
     flying
    0.86
     insects
    0.83
    planes
    0.83
     hangar
    0.79
     taxis
    0.78
     airplanes
    0.77
     squirrel
    0.76
    Activations Density 0.017%

    No Known Activations