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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. 10-RES-JB
    11. 6210
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    Explanations

    adjectives describing actions or situations as inexcusable, unimaginable, or inconclusive

    oai_token-act-pair · gpt-3.5-turbo

    words related to assumptions, inevitability, and conditions that are hard to change or rectify

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     painting
    -0.66
    anwhile
    -0.65
     cuts
    -0.64
     freeze
    -0.64
     lenses
    -0.64
     dogs
    -0.64
     baths
    -0.63
     reductions
    -0.62
     axes
    -0.61
     proxies
    -0.61
    POSITIVE LOGITS
    ceivable
    1.28
    structed
    1.22
    uitive
    1.09
    orable
    1.09
    hibited
    1.07
    vention
    1.06
    cient
    1.05
    cus
    1.05
    plain
    1.05
    haust
    1.05
    Activations Density 0.055%

    No Known Activations