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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. 6064
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    Explanations

    specific times of day represented in a 12-hour format followed by 'pm'

    oai_token-act-pair · gpt-3.5-turbo

    time references related to the evening and night

    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
     Flavoring
    -0.71
    leans
    -0.65
     spirits
    -0.62
    vana
    -0.60
     charact
    -0.58
    quished
    -0.58
    Austral
    -0.56
     acknowled
    -0.56
    come
    -0.55
    wikipedia
    -0.55
    POSITIVE LOGITS
    essage
    1.09
    endment
    1.06
    ueller
    0.97
    issions
    0.96
     EDT
    0.96
    sterdam
    0.93
     EST
    0.92
    ember
    0.89
    illion
    0.89
    ansion
    0.87
    Activations Density 0.017%

    No Known Activations