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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. 7-RES-JB
    11. 21555
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    Explanations

    proper nouns, specifically names of people and places

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals or names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ï¸ı
    -0.67
    MRI
    -0.67
    ruary
    -0.63
    nir
    -0.61
     suffice
    -0.59
    ertation
    -0.58
    halla
    -0.57
    quished
    -0.57
    stru
    -0.56
    tumblr
    -0.56
    POSITIVE LOGITS
     pas
    0.56
     Hilton
    0.55
    Hyper
    0.52
     Sark
    0.52
    ellectual
    0.52
    gaming
    0.51
     Walt
    0.51
     Trip
    0.51
     Mill
    0.51
     hol
    0.50
    Activations Density 0.686%

    No Known Activations