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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
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    Explanations

    mentions of the movie "Basma**ati** Blues"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the term "mat" in various contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    FUL
    -0.76
     Corpse
    -0.64
     lightly
    -0.63
    ORD
    -0.62
     contraceptives
    -0.61
     lean
    -0.61
    IDES
    -0.61
     DRAG
    -0.61
    BACK
    -0.60
     Lean
    -0.59
    POSITIVE LOGITS
    hemat
    1.41
    ches
    1.10
    rix
    1.06
    hematic
    1.06
    ters
    1.03
    icians
    1.01
    hematically
    0.92
    mat
    0.92
    opol
    0.91
    rals
    0.90
    Activations Density 0.006%

    No Known Activations