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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. 9-RES-JB
    11. 16196
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    keywords related to news headlines

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "New"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ONSORED
    -0.84
    uca
    -0.70
    icent
    -0.70
    xual
    -0.70
    abal
    -0.68
    acebook
    -0.68
    cius
    -0.66
    OPA
    -0.64
    poke
    -0.63
    ILA
    -0.63
    POSITIVE LOGITS
     York
    1.36
     Zealand
    1.34
     Orleans
    1.22
    foundland
    1.19
    bies
    1.13
     Yorkers
    1.12
    bie
    1.10
     Hampshire
    1.10
    York
    1.08
    castle
    1.07
    Activations Density 0.067%

    No Known Activations