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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. 10-RES-JB
    11. 10339
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    INDEX
    Explanations

    ranges or spans of different values, measurements, or conditions

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating varying degrees or ranges

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bis
    -0.70
    idity
    -0.62
    rics
    -0.61
    culosis
    -0.61
    win
    -0.60
    adobe
    -0.60
    orem
    -0.57
    english
    -0.57
     Duty
    -0.57
    redo
    -0.57
    POSITIVE LOGITS
     ranging
    1.13
     from
    1.05
     between
    1.02
    ranging
    1.00
     anywhere
    0.93
     wildly
    0.89
     across
    0.85
    From
    0.83
    between
    0.82
     geographically
    0.80
    Activations Density 0.053%

    No Known Activations