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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. 11-RES-JB
    11. 248
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    Explanations

    words related to acceptance, approval, and advancing careers

    oai_token-act-pair · gpt-3.5-turbo

    words related to acceptance and success

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Hancock
    -0.69
     Redemption
    -0.63
     Warp
    -0.63
     Whitman
    -0.62
     vulgar
    -0.61
     Martin
    -0.60
     Cardiff
    -0.59
     Hel
    -0.59
     Vortex
    -0.58
     Dynamics
    -0.58
    POSITIVE LOGITS
    ruary
    1.04
    eto
    1.03
    nesday
    1.02
    ccess
    1.02
    ould
    1.00
    uld
    0.99
    ecause
    0.99
    uly
    0.97
    ethe
    0.97
    о
    0.96
    Activations Density 0.311%

    No Known Activations