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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. 4-RES-JB
    11. 16011
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    oai_token-act-pair · gpt-3.5-turbo

    references to personal life experiences

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

    No Comments

    Negative Logits
     Cosponsors
    -0.92
    Ey
    -0.75
    ERC
    -0.70
    arity
    -0.69
    ribut
    -0.68
     Flavoring
    -0.67
    Priv
    -0.66
    IUM
    -0.65
    Gam
    -0.65
     Gork
    -0.65
    POSITIVE LOGITS
     expectancy
    1.03
    mares
    0.85
    guards
    0.82
    liest
    0.81
    making
    0.78
     dearly
    0.77
    blood
    0.76
    cation
    0.75
    guard
    0.74
     tenure
    0.72
    Activations Density 0.033%

    No Known Activations