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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. 8728
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    Explanations

    the word "ante"

    oai_token-act-pair · gpt-3.5-turbo

    references to specific hockey players or personalities, particularly Jacques Plante

    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
    nesota
    -0.94
    ileaks
    -0.87
    itably
    -0.84
    soDeliveryDate
    -0.82
    lund
    -0.78
    umbn
    -0.77
    stone
    -0.76
    lik
    -0.76
    ourcing
    -0.75
    oided
    -0.75
    POSITIVE LOGITS
    chnology
    0.96
    astern
    0.89
    ë
    0.84
    ño
    0.84
    zzi
    0.78
    ktop
    0.76
    jo
    0.71
    zona
    0.70
    xual
    0.70
    ctr
    0.69
    Activations Density 0.040%

    No Known Activations