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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. 3-RES-JB
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    Explanations

    references to social events or gatherings

    oai_token-act-pair · gpt-3.5-turbo

    references to social gatherings or events, particularly those characterized by a reception

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     mortg
    -0.78
    chn
    -0.69
    âĵĺ
    -0.64
    amaz
    -0.61
     Miner
    -0.61
    hem
    -0.60
     Sul
    -0.59
    vern
    -0.59
    remove
    -0.58
    mine
    -0.56
    POSITIVE LOGITS
     reception
    1.19
    alled
    0.99
    DragonMagazine
    0.92
    aries
    0.91
    arity
    0.89
    naire
    0.85
    ysis
    0.82
    ally
    0.81
    atories
    0.79
     Kirin
    0.79
    Activations Density 0.013%

    No Known Activations