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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. 11896
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    Explanations

    uncommon or sophisticated words and phrases

    oai_token-act-pair · gpt-3.5-turbo

    references to vocabulary and dictionaries, particularly in the context of language use

    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
    oning
    -0.75
    pard
    -0.75
    arching
    -0.73
    mond
    -0.69
    LEASE
    -0.67
    iasis
    -0.66
    ramid
    -0.66
    cot
    -0.65
     Patri
    -0.65
    ocal
    -0.65
    POSITIVE LOGITS
    abulary
    1.18
     vocabulary
    1.12
     diction
    0.85
     dictionary
    0.84
    naire
    0.84
     learners
    0.82
     Dictionary
    0.80
    Language
    0.80
     lex
    0.77
     language
    0.77
    Activations Density 0.010%

    No Known Activations