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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. 8-RES-JB
    11. 8535
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    INDEX
    Explanations

    proper nouns, likely names and locations

    oai_token-act-pair · gpt-3.5-turbo

    references to names, places, and specific entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •EggList

    No Comments

    Negative Logits
    accompan
    -0.82
    agra
    -0.77
     gardening
    -0.69
    atche
    -0.66
     Bagg
    -0.65
     Hur
    -0.64
     Coff
    -0.62
     CAS
    -0.62
     brakes
    -0.62
    hur
    -0.61
    POSITIVE LOGITS
    n
    1.40
    ni
    1.32
    Ns
    1.32
    N
    1.31
    ns
    1.29
    NI
    1.27
    nian
    1.20
    NP
    1.15
    NR
    1.15
    NT
    1.14
    Activations Density 0.167%

    No Known Activations