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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. 10430
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    Explanations

    references to convenience

    oai_token-act-pair · gpt-3.5-turbo

    references to convenience and inconvenience

    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
    ynt
    -0.87
    orn
    -0.77
    orns
    -0.76
    vae
    -0.74
    amm
    -0.68
    zik
    -0.67
    interstitial
    -0.67
    Benz
    -0.66
    ewski
    -0.65
    hov
    -0.64
    POSITIVE LOGITS
     convenience
    1.05
     gratification
    0.87
     conven
    0.80
    venient
    0.79
     inconven
    0.77
     convenient
    0.76
    ously
    0.76
    iences
    0.76
     familiarity
    0.74
     store
    0.72
    Activations Density 0.010%

    No Known Activations