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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
    11. 19557
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    Explanations

    characters present in a narrative or story

    oai_token-act-pair · gpt-3.5-turbo

    mentions of characters in narratives

    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
    IED
    -0.74
    LOCK
    -0.70
    IDA
    -0.69
    Effective
    -0.65
    VEN
    -0.65
     Dhabi
    -0.62
    PER
    -0.62
     Wass
    -0.62
    gard
    -0.61
    Bird
    -0.61
    POSITIVE LOGITS
    acters
    1.54
     characters
    1.02
     Characters
    0.91
     arcs
    0.87
     charact
    0.86
    izes
    0.86
    istically
    0.85
    anooga
    0.82
    istics
    0.80
     portray
    0.79
    Activations Density 0.018%

    No Known Activations