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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

    references to physical locations, particularly "ondo."

    oai_token-act-pair · gpt-3.5-turbo

    references to the character "Mondo."

    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
    TY
    -0.87
    ttle
    -0.84
    mented
    -0.81
    jriwal
    -0.79
    ty
    -0.79
    adesh
    -0.73
    tty
    -0.70
    TOP
    -0.67
    gling
    -0.65
    inth
    -0.65
    POSITIVE LOGITS
    ondo
    0.80
    qua
    0.71
    zzo
    0.68
    SourceFile
    0.68
     Pau
    0.64
     Beach
    0.63
    issance
    0.63
     Hotel
    0.62
    ango
    0.62
    ose
    0.62
    Activations Density 0.009%

    No Known Activations