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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. 3849
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    Explanations

    instances of phrases or sentences indicating a wide range or variety of something

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a range of options or variety

    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
    atown
    -0.76
    few
    -0.75
    cule
    -0.73
    culosis
    -0.68
    hesis
    -0.68
    finals
    -0.67
    lest
    -0.66
    uckle
    -0.65
    oil
    -0.65
    most
    -0.65
    POSITIVE LOGITS
     viewpoints
    1.16
     different
    1.16
     perspectives
    1.10
     possibilities
    1.08
     topics
    1.06
     disciplines
    1.04
     styles
    1.02
     configurations
    1.02
     interpretations
    1.01
     genres
    1.00
    Activations Density 0.132%

    No Known Activations