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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. 1-RES-JB
    11. 24300
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    INDEX
    Explanations

    names of famous individuals or entities

    oai_token-act-pair · gpt-3.5-turbo

    references to something being famous

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    otent
    -0.71
    avery
    -0.68
     Bots
    -0.67
    ifle
    -0.67
    heed
    -0.66
    vae
    -0.65
    alone
    -0.65
    cise
    -0.65
    adies
    -0.65
    THER
    -0.63
    POSITIVE LOGITS
     famous
    1.04
    rities
    1.01
    famous
    0.95
     Famous
    0.82
     nickname
    0.80
     headlines
    0.80
     infamous
    0.78
    ness
    0.74
     renown
    0.74
    NESS
    0.73
    Activations Density 0.009%

    No Known Activations