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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. 4-RES-JB
    6. 8236
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    Explanations

    specific times of day, particularly 'noon'

    oai_token-act-pair · gpt-3.5-turbo

    references to specific times, particularly around noon

    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
    bons
    -0.85
    gotten
    -0.75
    Reviewed
    -0.72
    historic
    -0.71
    leans
    -0.69
    duct
    -0.67
    inous
    -0.67
    ques
    -0.66
    designed
    -0.65
     compuls
    -0.65
    POSITIVE LOGITS
    endment
    1.09
     hrs
    0.92
    aturday
    0.88
    noon
    0.88
     EDT
    0.88
    iami
    0.88
    sterdam
    0.86
     onwards
    0.86
     GOODMAN
    0.84
     noon
    0.82
    Activations Density 0.009%

    No Known Activations