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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

    references to the term "Mad" followed by various words or phrases

    oai_token-act-pair · gpt-3.5-turbo

    references to locations or entities associated with the term "Mad."

    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
    OPLE
    -1.11
    LECT
    -0.80
    IDER
    -0.75
    oldown
    -0.75
    ×Ļ×
    -0.74
    ORED
    -0.74
    chnology
    -0.73
    kefeller
    -0.71
    ORTS
    -0.71
    YE
    -0.69
    POSITIVE LOGITS
     Mad
    0.91
    agascar
    0.90
    mad
    0.81
    hya
    0.81
    eline
    0.80
    der
    0.78
    amaz
    0.78
    Mad
    0.77
    arus
    0.76
    bold
    0.76
    Activations Density 0.004%

    No Known Activations