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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. 4-RES-JB
    11. 19374
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    Explanations

    phrases that mention a specific concept or idea and elaborate on it

    oai_token-act-pair · gpt-3.5-turbo

    references to "lines," indicating discussions about boundaries, categories, or guidelines

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

    No Comments

    Negative Logits
    CVE
    -0.85
    CLASSIFIED
    -0.81
    KNOWN
    -0.76
    Rot
    -0.73
    DERR
    -0.71
    Shock
    -0.70
    ARK
    -0.70
    è¦ļéĨĴ
    -0.69
    ILD
    -0.68
    Assembly
    -0.67
    POSITIVE LOGITS
    pace
    1.05
    poon
    0.92
    mith
    0.91
    poons
    0.91
    ystem
    0.90
    manship
    0.89
    urgical
    0.88
    heet
    0.87
    lines
    0.85
    peed
    0.84
    Activations Density 0.013%

    No Known Activations