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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

    mentions of the name "Lance"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Lance"

    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
    worldly
    -0.83
    ocular
    -0.82
     owl
    -0.78
    orate
    -0.76
    icism
    -0.76
    âĶģ
    -0.75
    urated
    -0.74
    sbm
    -0.71
    alien
    -0.70
    SpaceEngineers
    -0.70
    POSITIVE LOGITS
    lot
    1.25
     Armstrong
    1.04
     Corpor
    0.99
     Lance
    0.95
     Daniels
    0.83
     Stephenson
    0.78
     Redd
    0.76
     Davidson
    0.76
     Harvey
    0.75
     Oliver
    0.73
    Activations Density 0.012%

    No Known Activations