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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. 11-RES-JB
    11. 97
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    INDEX
    Explanations

    people or users who are considering or are in need of various products or tools based on specific criteria such as budget, sensitivity, or preference

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate recommendations or choices for potential consumers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Correct
    -0.80
     exoner
    -0.72
    mir
    -0.69
     refuted
    -0.67
     Correction
    -0.66
    truth
    -0.65
     Explain
    -0.64
    Correct
    -0.63
     acknowledgement
    -0.62
     debunked
    -0.62
    POSITIVE LOGITS
     needing
    1.17
     want
    1.16
     prefer
    1.13
     crave
    1.13
     need
    1.12
     wanting
    1.09
     NEED
    1.09
     desire
    1.08
     wanna
    1.02
    want
    1.01
    Activations Density 0.369%

    No Known Activations