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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 22033
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    INDEX
    Explanations

    phrases expressing contrasts or contradictions

    oai_token-act-pair · gpt-3.5-turbo

    conjunctions and transitional phrases indicating contrast or exception

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vance
    -0.73
    nan
    -0.72
    rontal
    -0.69
    olid
    -0.68
    flush
    -0.67
    rys
    -0.67
    register
    -0.67
    lish
    -0.67
    ribed
    -0.66
    etts
    -0.66
    POSITIVE LOGITS
     alas
    1.00
     beware
    0.99
     downside
    0.94
     unfortunately
    0.91
     hindered
    0.85
     lacks
    0.84
     drawbacks
    0.80
     drawback
    0.77
     hampered
    0.77
     lacked
    0.76
    Activations Density 0.428%

    No Known Activations