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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. 9-RES-JB
    6. 23513
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    Explanations

    terms related to national matters, such as national security, national interests, and nationalizing

    oai_token-act-pair · gpt-3.5-turbo

    references to national security

    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
    xual
    -0.79
    enhagen
    -0.69
    furt
    -0.68
    herty
    -0.67
    lda
    -0.66
    erm
    -0.65
    ullivan
    -0.64
    chnology
    -0.64
    qt
    -0.64
     Sack
    -0.64
    POSITIVE LOGITS
    istic
    1.28
    ities
    1.25
    ised
    1.12
    ized
    1.12
    istically
    1.10
     anthem
    1.10
    isms
    1.04
    ization
    1.03
    izing
    1.01
     parks
    0.98
    Activations Density 0.050%

    No Known Activations