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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. 0-RES-JB
    11. 2567
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    Explanations

    terms related to seemingly random repetition of specific patterns or phrases

    oai_token-act-pair · gpt-3.5-turbo

    names or terms related to a specific type of lodging or accommodation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     lat
    -0.79
     protocol
    -0.71
     protocols
    -0.69
     instruments
    -0.67
     Rafael
    -0.67
     Vladimir
    -0.66
     Glenn
    -0.65
     commodity
    -0.64
     Julian
    -0.63
     orchestr
    -0.63
    POSITIVE LOGITS
    odge
    4.06
    clad
    1.65
     Dodge
    1.57
    ittle
    1.40
     Irvine
    1.10
    oyle
    0.98
    ishly
    0.94
    iddy
    0.94
    lectic
    0.91
    ocus
    0.90
    Activations Density 0.039%

    No Known Activations