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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. 6-RES-JB
    11. 2814
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    Explanations

    references to timers and thermometers

    oai_token-act-pair · gpt-3.5-turbo

    references to timing and measuring devices

    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
    76561
    -0.75
    lesh
    -0.74
    afort
    -0.70
    hya
    -0.69
     Afgh
    -0.69
    kus
    -0.67
    ctuary
    -0.65
    ujah
    -0.64
    roud
    -0.63
    AAAA
    -0.63
    POSITIVE LOGITS
    ometer
    0.93
     gauge
    0.83
     widget
    0.80
     timer
    0.79
     malfunction
    0.76
    bell
    0.76
     bracelet
    0.74
     refill
    0.74
     reader
    0.72
    ometers
    0.72
    Activations Density 0.073%

    No Known Activations