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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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    text related to technological advancement and progress

    oai_token-act-pair · gpt-3.5-turbo

    references to advancements in various fields

    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
    \\\\\\\\
    -0.84
    NESS
    -0.83
    SourceFile
    -0.80
    OV
    -0.78
    NES
    -0.77
    lance
    -0.76
    âĸij
    -0.74
    ESA
    -0.73
    Champ
    -0.72
    ES
    -0.70
    POSITIVE LOGITS
     various
    0.66
     reverse
    0.66
     differing
    0.66
    each
    0.64
     kindred
    0.64
    tnc
    0.63
     stray
    0.63
     different
    0.62
     exchanged
    0.60
    pelling
    0.60
    Activations Density 0.662%

    No Known Activations