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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. 10-RES-JB
    11. 6517
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    phrases related to sports training camps

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to training camps in sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     popul
    -0.74
     traff
    -0.71
     analogue
    -0.70
     Axis
    -0.67
     restaur
    -0.65
     steril
    -0.65
    reme
    -0.64
     species
    -0.64
     ethnic
    -0.63
     Millennium
    -0.61
    POSITIVE LOGITS
     rosters
    0.96
     workouts
    0.91
     2019
    0.87
     festivities
    0.85
     rookies
    0.84
    2018
    0.84
    nesday
    0.82
    2019
    0.80
    ruary
    0.80
     2017
    0.79
    Activations Density 0.077%

    No Known Activations