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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. 10661
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    Explanations

    adjectives and adverbs indicating a high degree or frequency of something

    oai_token-act-pair · gpt-3.5-turbo

    terms related to uniformity and disproportionate impact

    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
    icip
    -0.71
     Fortress
    -0.69
    ster
    -0.68
    est
    -0.67
    ebin
    -0.67
    anmar
    -0.67
    sters
    -0.65
    atorium
    -0.64
    eways
    -0.64
    hum
    -0.62
    POSITIVE LOGITS
     represented
    0.75
    present
    0.73
     identifiable
    0.73
     masculine
    0.73
     excluded
    0.72
     absent
    0.71
     priced
    0.70
     disliked
    0.70
     worshipped
    0.70
     opposed
    0.70
    Activations Density 0.093%

    No Known Activations