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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. 7-RES-JB
    11. 1654
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    Explanations

    terms related to center-right political ideologies

    oai_token-act-pair · gpt-3.5-turbo

    specific terms related to sports and physical activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    trak
    -0.76
    abase
    -0.75
    cash
    -0.75
    state
    -0.72
    angible
    -0.71
    fml
    -0.65
    elong
    -0.64
    strings
    -0.62
    hower
    -0.62
    utm
    -0.61
    POSITIVE LOGITS
    âĦ¢:
    0.85
    uese
    0.76
     Viper
    0.67
    ibur
    0.64
     âĵĺ
    0.61
     IPM
    0.60
    hers
    0.60
     Judgment
    0.58
     Ecc
    0.57
     LLP
    0.57
    Activations Density 0.429%

    No Known Activations