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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. 9549
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    Explanations

    phrases related to events or actions in a specific context or scenario

    oai_token-act-pair · gpt-3.5-turbo

    the preposition "for" in various contexts

    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
    ashtra
    -0.68
    nil
    -0.62
    $.
    -0.56
    edin
    -0.56
    Introduced
    -0.54
    Math
    -0.53
    Fle
    -0.53
    grand
    -0.52
    fleet
    -0.52
    æ³
    -0.51
    POSITIVE LOGITS
    gery
    0.98
    cing
    0.93
    geries
    0.92
    bidden
    0.92
     instance
    0.88
     example
    0.87
    aging
    0.79
    gotten
    0.74
    ced
    0.74
    WARD
    0.73
    Activations Density 0.276%

    No Known Activations