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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
    11. 6332
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    Explanations

    names, possibly related to a specific person or character

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of the term "Ho."

    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
    */(
    -0.84
    ãĤ¼ãĤ¦ãĤ¹
    -0.80
     totality
    -0.77
     simul
    -0.75
     confir
    -0.74
     CTR
    -0.72
    代
    -0.71
     CPC
    -0.69
     mileage
    -0.67
    Interstitial
    -0.66
    POSITIVE LOGITS
    oney
    1.08
    Ho
    1.01
    gey
    1.00
     Ho
    0.99
    ppy
    0.97
    LLOW
    0.96
    pper
    0.96
    arding
    0.95
    ven
    0.93
    ose
    0.93
    Activations Density 0.009%

    No Known Activations