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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. 2-RES-JB
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    Explanations

    mentions of the name "Ronald" at varying degrees of activation

    oai_token-act-pair · gpt-3.5-turbo

    references to Ronald Reagan

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    76561
    -0.74
    dq
    -0.70
    PLA
    -0.70
    ILA
    -0.69
    hou
    -0.68
    erker
    -0.66
    empl
    -0.66
    HOU
    -0.66
    alach
    -0.65
    alam
    -0.64
    POSITIVE LOGITS
     Reagan
    1.15
    inho
    0.98
     Ronald
    0.95
     Weasley
    0.93
    ity
    0.83
    ald
    0.83
    sson
    0.81
    nie
    0.76
     McDonald
    0.75
    stad
    0.74
    Activations Density 0.007%

    No Known Activations