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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
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    Explanations

    references to the Keystone XL pipeline

    oai_token-act-pair · gpt-3.5-turbo

    references to the Keystone XL pipeline

    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
    arya
    -0.98
    Interstitial
    -0.86
    sembly
    -0.84
    enance
    -0.74
    ILLE
    -0.73
    ARS
    -0.72
    erker
    -0.71
    erve
    -0.71
    ews
    -0.70
    erved
    -0.70
    POSITIVE LOGITS
     XL
    0.93
     Pipeline
    0.82
    weed
    0.78
    stone
    0.77
     Keystone
    0.71
     Sabha
    0.68
     Township
    0.66
     pipeline
    0.66
    fruit
    0.65
     Crossing
    0.65
    Activations Density 0.006%

    No Known Activations