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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. 0-RES-JB
    11. 11594
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    oai_token-act-pair · gpt-3.5-turbo

    references to commercial products and public transportation systems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Cannes
    -0.74
     Brill
    -0.73
     Ples
    -0.70
     airst
    -0.64
     Lenovo
    -0.63
     Rosenberg
    -0.62
    interstitial
    -0.61
     shorthand
    -0.61
     Zeit
    -0.60
     specificity
    -0.60
    POSITIVE LOGITS
    rail
    2.35
    products
    2.34
     Brother
    1.42
    catch
    1.35
    weather
    1.19
    enger
    1.08
    Ox
    1.02
    course
    1.00
    united
    0.94
    $$
    0.94
    Activations Density 0.048%

    No Known Activations