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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. 9960
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    INDEX
    Explanations

    emotions or states of mind

    oai_token-act-pair · gpt-3.5-turbo

    expressions of concern, disappointment, and strong emotional reactions

    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
    artifacts
    -0.79
    Downloadha
    -0.76
    00007
    -0.75
    perty
    -0.72
    Jump
    -0.71
    otide
    -0.70
    ohm
    -0.70
    uther
    -0.67
    eworks
    -0.67
     dated
    -0.67
    POSITIVE LOGITS
     onlook
    1.10
    ness
    0.99
     populace
    0.95
     individuals
    0.92
     masses
    0.90
     youngsters
    0.88
     persons
    0.87
     souls
    0.86
     shoppers
    0.86
     adults
    0.85
    Activations Density 0.225%

    No Known Activations