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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. 4898
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    Explanations

    references to the company "Square Enix."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Square Enix and related terms

    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
    sbm
    -0.74
    orship
    -0.73
    eworld
    -0.72
    netflix
    -0.68
    acca
    -0.67
    ictional
    -0.67
    hetical
    -0.67
    oad
    -0.67
    ually
    -0.65
    esp
    -0.65
    POSITIVE LOGITS
     Enix
    1.47
    pants
    0.85
     Mile
    0.80
     peg
    0.77
     footage
    0.72
     Feet
    0.72
    µ
    0.68
     Britann
    0.67
    bour
    0.67
     metre
    0.67
    Activations Density 0.032%

    No Known Activations