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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. 11-RES-JB
    11. 979
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    Explanations

    technical terms or jargon

    oai_token-act-pair · gpt-3.5-turbo

    references to technology and its applications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     refrain
    -0.64
     awoken
    -0.63
     Labrador
    -0.60
     Ground
    -0.59
    RAY
    -0.59
     reservations
    -0.59
     seated
    -0.57
     HAM
    -0.57
     reservation
    -0.56
     sqor
    -0.56
    POSITIVE LOGITS
    icians
    1.63
    icol
    1.57
    ically
    1.49
    ological
    1.48
    iques
    1.43
    ologies
    1.37
    ique
    1.37
    ician
    1.36
    ologically
    1.36
    ologic
    1.28
    Activations Density 0.043%

    No Known Activations