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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
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    9. 2-RES-JB
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    Explanations

    the word "ash" with varying activation levels

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "ash."

    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
     pregn
    -0.84
     certific
    -0.74
     vitro
    -0.69
    pared
    -0.67
     calibrated
    -0.64
    etheless
    -0.64
     targeted
    -0.64
    mercial
    -0.62
     payable
    -0.61
     pegged
    -0.60
    POSITIVE LOGITS
    ash
    1.33
    ield
    0.95
    nikov
    0.94
    ा
    0.88
    ava
    0.88
    dash
    0.88
    sha
    0.87
    adow
    0.87
    ares
    0.87
    uff
    0.87
    Activations Density 0.012%

    No Known Activations