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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. 0-RES-JB
    11. 1665
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    Explanations

    numerical records or superlatives

    oai_token-act-pair · gpt-3.5-turbo

    references to statistical records or achievements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    reddits
    -0.75
    aligned
    -0.69
    ussed
    -0.69
    ilies
    -0.66
     Yin
    -0.65
     Applied
    -0.64
    ÃŁ
    -0.64
    yang
    -0.64
    ular
    -0.64
    cair
    -0.63
    POSITIVE LOGITS
     record
    4.09
    record
    3.18
     Record
    2.97
     records
    2.56
    Record
    2.31
     Records
    2.05
     recording
    1.62
     recorded
    1.57
     recorder
    1.47
     track
    1.37
    Activations Density 0.027%

    No Known Activations