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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. 19905
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    Explanations

    locations named "Fort" with a strong emphasis on "Fort Detrick"

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "Fort" followed by various numbers

    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
    Accessory
    -0.64
    lihood
    -0.64
    clips
    -0.61
     eclipse
    -0.60
     polarized
    -0.59
    Publisher
    -0.59
    lyak
    -0.58
    Companies
    -0.57
    pert
    -0.57
    eker
    -0.56
    POSITIVE LOGITS
    uitous
    1.34
     Lauderdale
    1.20
    ieth
    1.17
    itude
    1.15
    dinand
    1.13
    resses
    1.00
    itud
    0.97
    folios
    0.92
    raits
    0.91
     Worth
    0.90
    Activations Density 0.036%

    No Known Activations