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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 5392
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    Explanations

    phrases related to relative position or status

    oai_token-act-pair · gpt-3.5-turbo

    phrases that signify being out of context or not aligned with expectations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nai
    -0.78
    advertisement
    -0.75
    incial
    -0.75
    utical
    -0.70
    ighth
    -0.68
    arnaev
    -0.64
    è£ħ
    -0.63
    ijing
    -0.62
    Ń·
    -0.62
    shown
    -0.61
    POSITIVE LOGITS
     altogether
    0.78
     boredom
    0.69
     mouths
    0.67
     entirely
    0.67
    alus
    0.66
    vae
    0.65
     toile
    0.65
    ville
    0.64
     frying
    0.61
     drawer
    0.60
    Activations Density 0.110%

    No Known Activations