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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. 2-RES-JB
    11. 6424
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    Explanations

    references to the name "Kat" or "Katz" in various contexts

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ptives
    -0.84
    culosis
    -0.79
    CLASSIFIED
    -0.79
     oxide
    -0.78
    uploads
    -0.76
    nesota
    -0.72
    ptive
    -0.70
    cius
    -0.70
    cffff
    -0.69
    FUL
    -0.69
    POSITIVE LOGITS
    kat
    1.09
    rina
    1.00
    Kat
    0.95
    alon
    0.89
    ief
    0.76
    usha
    0.75
    oling
    0.73
    la
    0.73
    tis
    0.73
     Kat
    0.72
    Activations Density 0.010%

    No Known Activations