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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. 9-RES-JB
    11. 1856
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    Explanations

    comparative and descriptive words

    oai_token-act-pair · gpt-3.5-turbo

    adverbs and adverbial phrases that modify actions or descriptions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     mash
    -0.72
    Ö¼
    -0.64
    hler
    -0.62
     palette
    -0.60
     moniker
    -0.60
     citation
    -0.59
    Thumbnail
    -0.58
     attendant
    -0.57
     charger
    -0.57
     fueling
    -0.57
    POSITIVE LOGITS
    izont
    0.86
    animate
    0.83
    pless
    0.80
    odox
    0.79
    optim
    0.78
    units
    0.78
     sqor
    0.75
    rams
    0.73
    points
    0.73
     srfAttach
    0.72
    Activations Density 0.356%

    No Known Activations