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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. 1-RES-JB
    11. 21550
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    Explanations

    words related to excessive enjoyment or self-gratification

    oai_token-act-pair · gpt-3.5-turbo

    words related to indulgence and indulgent behaviors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Patriarch
    -0.84
    externalActionCode
    -0.68
     Kinnikuman
    -0.66
     Fargo
    -0.62
     Pav
    -0.61
     Electronic
    -0.61
    nuclear
    -0.60
     Helsinki
    -0.60
     EV
    -0.59
     Wizards
    -0.58
    POSITIVE LOGITS
     indul
    1.33
    gence
    1.10
    iously
    0.92
    glers
    0.90
     indulge
    0.88
    rences
    0.87
    gently
    0.85
    ction
    0.83
    ging
    0.83
    nels
    0.82
    Activations Density 0.011%

    No Known Activations