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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. 1-RES-JB
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    Explanations

    the name "Antonio."

    oai_token-act-pair · gpt-3.5-turbo

    references to the name "Antonio."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lasses
    -0.84
    igation
    -0.82
    soDeliveryDate
    -0.81
     ski
    -0.76
    nda
    -0.68
    recy
    -0.67
    rified
    -0.67
    edy
    -0.65
    ruce
    -0.63
    quarters
    -0.63
    POSITIVE LOGITS
     Antonio
    1.37
     Marcos
    0.90
     Spurs
    0.89
     Carlos
    0.89
     Francisco
    0.88
     Angelo
    0.83
    angelo
    0.82
     Giovanni
    0.81
    illo
    0.80
     Pastor
    0.79
    Activations Density 0.005%

    No Known Activations