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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. 23309
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    Explanations

    instances of discussing or mentioning a particular topic within a larger context

    oai_token-act-pair · gpt-3.5-turbo

    topics related to discussions or communication regarding legal matters and concerns

    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
    kee
    -0.75
    ardless
    -0.73
    usting
    -0.71
    itto
    -0.66
    elve
    -0.63
     Pwr
    -0.63
    rought
    -0.62
    mAh
    -0.62
    SEA
    -0.62
    rection
    -0.61
    POSITIVE LOGITS
     schedules
    0.80
     PowerPoint
    0.80
     topics
    0.78
     directions
    0.78
     subordinates
    0.76
     gossip
    0.76
     subjects
    0.74
     deadlines
    0.74
     briefings
    0.73
     memos
    0.71
    Activations Density 0.579%

    No Known Activations