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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. 9-RES-JB
    11. 5891
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    Explanations

    serious and urgent warnings or cautionary statements

    oai_token-act-pair · gpt-3.5-turbo

    expressions of self-doubt or uncertainty

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥķãĤ©
    -0.65
    NRS
    -0.65
     DOI
    -0.63
     Morg
    -0.59
     POV
    -0.59
     redef
    -0.59
     Contin
    -0.59
     SPI
    -0.58
     Misc
    -0.58
     permissible
    -0.58
    POSITIVE LOGITS
    cies
    0.85
    ember
    0.84
    ese
    0.82
    tin
    0.80
    vable
    0.80
    hips
    0.80
    lees
    0.78
    t
    0.77
    ector
    0.76
    ennes
    0.76
    Activations Density 0.109%

    No Known Activations