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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. 17524
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    INDEX
    Explanations

    proper names of companies

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the brand "Sharp" and its association with other companies or concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    CVE
    -0.79
     Valkyrie
    -0.77
    76561
    -0.76
    romeda
    -0.75
    vae
    -0.72
    oldemort
    -0.72
     Emir
    -0.70
    ctica
    -0.69
    ESH
    -0.69
    roups
    -0.68
    POSITIVE LOGITS
     Sharp
    0.89
    ening
    0.76
    Edge
    0.76
    Sharp
    0.75
    ened
    0.74
    ness
    0.74
    bread
    0.72
    alties
    0.71
    itz
    0.71
    akh
    0.70
    Activations Density 0.009%

    No Known Activations