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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. 343
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    Explanations

    terms related to significant historical events and records

    oai_token-act-pair · gpt-3.5-turbo

    significant events and their impact in various contexts, particularly those associated with crises and extreme occurrences

    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
    Redditor
    -0.73
    inately
    -0.69
    inate
    -0.68
    unts
    -0.67
    tiny
    -0.64
    200000
    -0.63
    kas
    -0.60
     resid
    -0.59
    instead
    -0.58
    Vers
    -0.58
    POSITIVE LOGITS
     ever
    1.24
     imaginable
    1.13
     EVER
    1.13
     since
    0.99
    ever
    0.97
    Ever
    0.96
     yet
    0.92
     Ever
    0.91
     humankind
    0.83
    since
    0.81
    Activations Density 0.180%

    No Known Activations