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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. 11-RES-JB
    11. 17707
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    Explanations

    prepositions followed by nouns and possibly inanimate objects

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "and" along with mentions of multiple items or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ¼ãĤ¦ãĤ¹
    -0.65
    iltr
    -0.62
    aucas
    -0.61
    inates
    -0.60
    inational
    -0.60
    ells
    -0.59
    Firstly
    -0.58
    bral
    -0.56
    ettel
    -0.55
    icken
    -0.55
    POSITIVE LOGITS
     others
    1.44
     subsequent
    1.31
     countless
    1.21
     other
    1.16
     similar
    1.14
     ensuing
    1.04
     innumerable
    1.01
     accompanying
    1.00
     related
    0.99
     many
    0.97
    Activations Density 0.175%

    No Known Activations