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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 14788
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    INDEX
    Explanations

    mentions of the word "ott" at varying activations

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the name "Ott."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    senal
    -0.72
     calculus
    -0.65
     reserve
    -0.64
     Gemini
    -0.63
     CONTROL
    -0.61
     prosecution
    -0.60
    eer
    -0.60
    ggle
    -0.60
     spreadsheet
    -0.60
     coordinate
    -0.60
    POSITIVE LOGITS
    ott
    1.33
    sburgh
    1.03
    awa
    0.92
    stown
    0.90
    terness
    0.89
    ito
    0.89
    orn
    0.89
    ido
    0.88
    itt
    0.87
    eca
    0.87
    Activations Density 0.004%

    No Known Activations