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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. 16531
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    INDEX
    Explanations

    mentions of bottlenecks

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "bott" and related terms as well as expressions of recklessness

    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
    ITED
    -0.81
    dash
    -0.69
    bed
    -0.68
    rely
    -0.65
     Patriot
    -0.62
    itably
    -0.62
    è¦ļéĨĴ
    -0.61
     dime
    -0.61
    ERAL
    -0.60
     Zucker
    -0.60
    POSITIVE LOGITS
    oms
    1.14
    oming
    1.05
    leneck
    1.05
    oning
    0.98
    ewater
    0.96
    oner
    0.91
    ages
    0.90
    illery
    0.86
    asses
    0.85
    housing
    0.83
    Activations Density 0.078%

    No Known Activations