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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. 1-RES-JB
    11. 22049
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    Explanations

    proper nouns and organizations

    oai_token-act-pair · gpt-3.5-turbo

    references to authoritative sources or general claims of authority

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    abwe
    -0.74
     tremend
    -0.73
    aminer
    -0.68
    EStream
    -0.66
    rir
    -0.62
     Kamp
    -0.61
    cept
    -0.61
     horizon
    -0.61
    isoft
    -0.60
    iotics
    -0.59
    POSITIVE LOGITS
    ocating
    1.13
    ocate
    1.10
    iance
    1.09
    iances
    1.04
    igator
    1.03
    ocated
    1.03
    owing
    1.01
    owed
    1.00
    ocation
    0.99
     sorts
    0.90
    Activations Density 0.027%

    No Known Activations