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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. 7-RES-JB
    11. 21753
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    Explanations

    expressions of satisfaction or gratitude

    oai_token-act-pair · gpt-3.5-turbo

    expressions of gratitude or satisfaction

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    effic
    -0.75
    ciplinary
    -0.71
     impair
    -0.68
    Downloadha
    -0.66
    improve
    -0.65
     helicop
    -0.65
    Improve
    -0.64
    Format
    -0.63
    Lay
    -0.63
    çīĪ
    -0.62
    POSITIVE LOGITS
     tid
    0.83
     Tid
    0.76
     glad
    0.75
    NESS
    0.73
    ness
    0.70
    joy
    0.66
    dy
    0.66
    oka
    0.63
    terday
    0.62
    wart
    0.62
    Activations Density 0.031%

    No Known Activations