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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. 4-RES-JB
    11. 12454
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    Explanations

    numeric references to measurements or dimensions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to measurements of length

    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
    eers
    -1.01
    eer
    -0.84
    eering
    -0.73
    tical
    -0.70
    ILLE
    -0.68
    unin
    -0.67
    gency
    -0.67
    BA
    -0.66
     Girl
    -0.65
    oras
    -0.64
    POSITIVE LOGITS
    shed
    1.07
     length
    0.98
     lengths
    0.97
     circumference
    0.77
    agy
    0.77
    length
    0.76
    running
    0.76
    staking
    0.75
    iest
    0.74
    iness
    0.73
    Activations Density 0.015%

    No Known Activations