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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. 20682
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    INDEX
    Explanations

    phrases indicating expectations or obligations

    oai_token-act-pair · gpt-3.5-turbo

    references to expectations or obligations

    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
    fram
    -0.69
    quickShipAvailable
    -0.66
     Nationwide
    -0.66
    Textures
    -0.65
    river
    -0.63
     Wid
    -0.62
     Compass
    -0.59
     Volks
    -0.58
     Sets
    -0.58
     Harris
    -0.57
    POSITIVE LOGITS
     behave
    1.06
     be
    1.03
     embody
    1.02
     represent
    0.94
     abide
    0.93
     compete
    0.89
     mimic
    0.88
     adhere
    0.88
     fend
    0.88
     belong
    0.87
    Activations Density 0.088%

    No Known Activations