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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 16792
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    Explanations

    mentions of the name "Bern" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    mentions 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 @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ------------------------------------------------
    -0.68
     partName
    -0.65
    NetMessage
    -0.65
     eru
    -0.64
     Tune
    -0.64
    intendent
    -0.64
    «ĺ
    -0.64
     SPORTS
    -0.63
    mson
    -0.62
     clipboard
    -0.62
    POSITIVE LOGITS
    anke
    1.52
    hard
    1.09
    aby
    1.08
    hart
    1.04
    ardo
    1.00
    stein
    0.95
    etta
    0.95
    ayan
    0.92
    hal
    0.91
    anos
    0.90
    Activations Density 0.024%

    No Known Activations