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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. 1636
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    Explanations

    keywords related to specific technology products or terms, particularly focusing on model names or technical specifications

    oai_token-act-pair · gpt-3.5-turbo

    brand names and models related to technology or electronics

    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
     prayer
    -0.74
     Cullen
    -0.70
     hunger
    -0.70
    guard
    -0.69
    library
    -0.68
     Walsh
    -0.68
     Howard
    -0.66
    unn
    -0.65
     Ramadan
    -0.65
     Narr
    -0.65
    POSITIVE LOGITS
     MX
    4.25
    MX
    2.82
     RX
    1.60
    mx
    1.20
     NX
    1.14
     Mex
    1.12
     TX
    1.10
     NM
    1.07
     NZ
    1.05
     XT
    1.04
    Activations Density 0.017%

    No Known Activations