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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. 2-RES-JB
    11. 21491
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    Explanations

    words ending in 'ing'

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the letter "n"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xual
    -0.75
     compe
    -0.69
    EStream
    -0.69
     caution
    -0.69
    MODE
    -0.66
     CLSID
    -0.66
    EStreamFrame
    -0.66
     acron
    -0.63
     hemor
    -0.61
    rero
    -0.60
    POSITIVE LOGITS
    aturally
    1.13
    onsense
    1.13
    ihil
    1.11
    uggets
    1.09
    ovation
    1.03
    aught
    1.02
    ucle
    1.02
    umeric
    1.02
    ought
    1.00
    orthern
    0.99
    Activations Density 0.044%

    No Known Activations