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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. 11564
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    Explanations

    phrases related to the importance of something

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of importance in various contexts

    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
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    No Comments

    Negative Logits
    wagen
    -0.77
    apons
    -0.65
     hairs
    -0.64
    cker
    -0.63
    twitter
    -0.63
     Wonderland
    -0.62
    TING
    -0.62
    Accessory
    -0.61
    Sus
    -0.61
    Snow
    -0.60
    POSITIVE LOGITS
     importance
    0.94
    lessness
    0.91
     tremend
    0.87
    iness
    0.87
     factor
    0.82
    lessly
    0.75
    notation
    0.69
     consideration
    0.67
     factors
    0.67
    otic
    0.67
    Activations Density 0.034%

    No Known Activations