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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. 2-RES-JB
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    Explanations

    the word "Fair" with various contexts and associations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of fairness in various contexts

    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
    eters
    -0.68
    ERG
    -0.65
    CHAT
    -0.63
    åĤ
    -0.63
    Xi
    -0.62
    hent
    -0.60
     injected
    -0.60
     heck
    -0.60
    ³³³³³³³³³³³³³³³³
    -0.60
    OPLE
    -0.60
    POSITIVE LOGITS
    grounds
    1.32
    fair
    1.16
    banks
    1.04
    child
    0.95
     Fair
    0.94
    ground
    0.90
     fair
    0.87
    leigh
    0.82
    Fair
    0.79
    bread
    0.75
    Activations Density 0.007%

    No Known Activations