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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. 13493
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    Explanations

    phrases related to public consultations

    oai_token-act-pair · gpt-3.5-turbo

    references to public consultations

    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
    duc
    -0.75
    kt
    -0.73
    same
    -0.70
    ending
    -0.69
    eat
    -0.65
    ols
    -0.64
    oil
    -0.64
    import
    -0.63
    asha
    -0.63
    Il
    -0.62
    POSITIVE LOGITS
    naire
    1.00
     consultation
    0.97
     consultations
    0.89
     sessions
    0.81
    izabeth
    0.79
    atively
    0.78
    naires
    0.76
    ative
    0.74
     Ples
    0.73
    DragonMagazine
    0.73
    Activations Density 0.011%

    No Known Activations