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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. 8-RES-JB
    11. 14834
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    Explanations

    adjectives related to being tightly constrained or closely knit

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "tight" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ennial
    -0.74
    aurus
    -0.72
    iterranean
    -0.71
    arthed
    -0.70
    ilater
    -0.70
     Journalism
    -0.66
    udi
    -0.66
    agne
    -0.65
     Hait
    -0.65
    ;;;;;;;;;;;;
    -0.64
    POSITIVE LOGITS
    nesses
    1.09
     toler
    1.03
    ness
    1.03
     tighter
    0.99
     tight
    0.98
     knit
    0.98
    knit
    0.93
     coupling
    0.93
     squeeze
    0.93
     throttle
    0.89
    Activations Density 0.051%

    No Known Activations