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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. 12050
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    INDEX
    Explanations

    mentions of a specific name, "Lor San Tekka"

    oai_token-act-pair · gpt-3.5-turbo

    the presence of the term "ka"

    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
     sensitive
    -0.69
     EDIT
    -0.65
     clocks
    -0.64
     exclus
    -0.63
     onward
    -0.63
     contacts
    -0.63
     onwards
    -0.63
     intoler
    -0.61
     confid
    -0.61
     GCC
    -0.60
    POSITIVE LOGITS
    ka
    4.35
    kas
    2.47
    ki
    2.00
    ko
    1.95
    kaya
    1.89
    kan
    1.80
    KA
    1.75
    ku
    1.62
    kar
    1.56
    ker
    1.52
    Activations Density 0.013%

    No Known Activations