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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. 7-RES-JB
    11. 3799
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    Explanations

    phrases referring to various types of entities, such as tests, shows, podcasts, books, sites, societies, programs, beers, groups, labs, apps, notes, articles, projects, rooms, and articles

    oai_token-act-pair · gpt-3.5-turbo

    nouns related to various forms of media, documents, and institutions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    \\\\\\\\
    -0.73
     Dhabi
    -0.62
     Disorder
    -0.60
    roo
    -0.59
    âĸ¬
    -0.59
    cation
    -0.58
    ALLY
    -0.57
    mber
    -0.57
     Ventures
    -0.57
    aneously
    -0.56
    POSITIVE LOGITS
     themselves
    1.25
    etter
    1.13
    cape
    1.11
    mith
    1.10
    heet
    1.04
    etting
    1.03
    linger
    1.02
    hip
    1.00
    hips
    0.99
    ensitive
    0.95
    Activations Density 0.408%

    No Known Activations