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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. 2-RES-JB
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    HTML div elements

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of HTML div elements in content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     earnest
    -0.74
    akeru
    -0.74
    eele
    -0.72
    SEE
    -0.66
    DEM
    -0.65
    EStream
    -0.64
    WARE
    -0.64
     demand
    -0.64
     Cosponsors
    -0.63
     Rifle
    -0.62
    POSITIVE LOGITS
    isions
    1.28
    orce
    1.18
    isible
    1.14
    ination
    1.04
    iral
    1.02
    ision
    1.00
    isive
    1.00
    ittal
    0.99
    acent
    0.99
    inyl
    0.97
    Activations Density 0.006%

    No Known Activations