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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. 1-RES-JB
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to various types of engines or engineering terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    dos
    -0.89
    giving
    -0.82
    ities
    -0.75
    guyen
    -0.71
    berra
    -0.71
    laus
    -0.71
     Jagu
    -0.70
    ctuary
    -0.70
    ITY
    -0.68
    apa
    -0.67
    POSITIVE LOGITS
    ered
    1.03
     Engine
    1.01
    Engine
    0.81
    engine
    0.80
    breaker
    0.73
    ering
    0.73
    ugal
    0.73
    stration
    0.71
    iHUD
    0.71
    rued
    0.70
    Activations Density 0.011%

    No Known Activations