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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. 6555
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    Explanations

    terms related to achieving high performance or excellence

    oai_token-act-pair · gpt-3.5-turbo

    references to high levels or intensities

    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
     die
    -0.61
     merch
    -0.60
     app
    -0.60
     copying
    -0.58
     Rubin
    -0.58
     reactions
    -0.57
     altogether
    -0.57
     bite
    -0.57
     exit
    -0.56
     Roku
    -0.55
    POSITIVE LOGITS
    high
    3.86
    High
    2.17
    low
    2.01
     HIGH
    1.71
     High
    1.65
    higher
    1.60
    highest
    1.55
     high
    1.54
    Low
    1.48
     highs
    1.35
    Activations Density 0.006%

    No Known Activations