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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. 8-RES-JB
    11. 14349
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    Explanations

    punctuation marks within square brackets

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "he" and related pronouns in the context of statements or quotations

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     Fiesta
    -0.65
     canopy
    -0.64
     Crusher
    -0.63
     Dian
    -0.63
     Jiu
    -0.62
     QR
    -0.61
     DP
    -0.61
     DRAG
    -0.59
     DL
    -0.58
     TX
    -0.58
    POSITIVE LOGITS
    eenth
    0.96
    une
    0.90
    ertain
    0.90
    ecause
    0.90
    ccording
    0.90
    here
    0.89
    ould
    0.89
    uit
    0.88
    rary
    0.88
    he
    0.87
    Activations Density 0.035%

    No Known Activations