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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. 11209
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    Explanations

    references to the metric system

    oai_token-act-pair · gpt-3.5-turbo

    terminology related to measurement systems

    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
    NetMessage
    -0.94
    creen
    -0.78
    ipeg
    -0.78
    idan
    -0.76
    sle
    -0.73
    erves
    -0.72
    KI
    -0.71
    overs
    -0.68
    ignt
    -0.67
    adder
    -0.65
    POSITIVE LOGITS
     metric
    1.00
     ton
    0.88
    ICAN
    0.84
     tonnes
    0.82
     gauge
    0.79
    rod
    0.79
     metrics
    0.79
     tract
    0.76
     scale
    0.72
    rics
    0.72
    Activations Density 0.009%

    No Known Activations