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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
    11. 18656
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    Explanations

    proper nouns, specifically focusing on mentions of 'Bern'

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the name "Bern."

    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
    Not in Any Lists

    No Comments

    Negative Logits
    CRIP
    -0.69
    mson
    -0.67
    Es
    -0.65
    NetMessage
    -0.64
     SPORTS
    -0.63
    pta
    -0.63
    edited
    -0.62
    clusive
    -0.62
    DNA
    -0.62
    WARE
    -0.62
    POSITIVE LOGITS
    anke
    1.33
     Bern
    1.02
    ucci
    0.88
    hart
    0.87
    aby
    0.86
    hard
    0.85
    abel
    0.85
    hal
    0.83
    etta
    0.83
    ardo
    0.82
    Activations Density 0.006%

    No Known Activations