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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
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    Explanations

    numerical mentions of length measurements

    oai_token-act-pair · gpt-3.5-turbo

    mentions of length measurements

    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
    eers
    -0.90
    eer
    -0.81
    tical
    -0.69
    gency
    -0.66
    adel
    -0.66
    eering
    -0.64
    unin
    -0.64
    ILLE
    -0.63
    BA
    -0.63
    alus
    -0.61
    POSITIVE LOGITS
    shed
    1.09
     length
    1.06
     lengths
    1.04
    length
    0.86
     circumference
    0.83
     breadth
    0.81
     Length
    0.80
     traged
    0.80
    terness
    0.80
    worms
    0.78
    Activations Density 0.008%

    No Known Activations