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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. 21614
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    Explanations

    phrases related to actions or events happening behind the scenes

    oai_token-act-pair · gpt-3.5-turbo

    references to "behind the scenes" concepts or situations

    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
    RIC
    -0.75
     secondly
    -0.71
    ital
    -0.69
    ultimate
    -0.66
     alone
    -0.65
    cision
    -0.64
    ii
    -0.64
     exceeded
    -0.64
     furthermore
    -0.61
    borg
    -0.61
    POSITIVE LOGITS
     scenes
    1.57
     curtain
    1.32
     Scenes
    1.27
    scenes
    1.20
     curtains
    1.12
     wheel
    1.05
     veil
    1.00
     curve
    0.96
     desk
    0.85
     facade
    0.84
    Activations Density 0.088%

    No Known Activations