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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. 1012
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    Explanations

    unigrams that seem to be related to specific topics such as "monocle", "Copenhagen", "soft robots", "dirty tricks", and "cryptocurrency"

    oai_token-act-pair · gpt-3.5-turbo

    references to cryptocurrency and financial concepts

    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
     Uriel
    -0.66
    words
    -0.64
    burg
    -0.63
     intention
    -0.62
     Welch
    -0.61
     hope
    -0.59
     Keynes
    -0.59
    went
    -0.59
    à¥
    -0.58
     words
    -0.56
    POSITIVE LOGITS
    entric
    1.42
    kefeller
    1.35
    arbon
    1.30
    urrencies
    1.17
    hester
    1.15
    urrency
    1.15
    ulture
    1.10
    ombat
    1.06
    razy
    1.05
    lean
    1.03
    Activations Density 0.030%

    No Known Activations