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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. 3-RES-JB
    11. 5169
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    Explanations

    phrases related to awakening or alerting

    oai_token-act-pair · gpt-3.5-turbo

    phrases involving the concept of awakening or raising awareness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bably
    -0.89
    itles
    -0.82
    MX
    -0.82
    ongyang
    -0.80
    olini
    -0.79
    ento
    -0.74
    tesy
    -0.74
     Cosponsors
    -0.72
    ás
    -0.72
    lator
    -0.72
    POSITIVE LOGITS
     Trayvon
    0.75
     Debate
    0.70
    iscons
    0.67
     horrors
    0.65
     recess
    0.64
     Debbie
    0.64
     Nightmares
    0.63
     Paraly
    0.63
     Witness
    0.63
     midday
    0.63
    Activations Density 0.181%

    No Known Activations