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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
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    Explanations

    mentions of the word "Wooster"

    oai_token-act-pair · gpt-3.5-turbo

    references to the character "Wooster" or related context in literature and media

    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
    Magikarp
    -0.76
    ++++++++++++++++
    -0.73
    inates
    -0.73
    idates
    -0.73
    代
    -0.71
    orescent
    -0.71
    Interstitial
    -0.68
    Ú
    -0.66
    ãĥ´ãĤ¡
    -0.66
    ENTS
    -0.66
    POSITIVE LOGITS
    Wo
    1.06
     Wo
    1.01
    efully
    0.99
    eful
    0.94
    ollen
    0.93
    ogie
    0.93
    ocom
    0.88
    jo
    0.84
    wow
    0.83
    ollah
    0.82
    Activations Density 0.004%

    No Known Activations