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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. 9-RES-JB
    11. 23194
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    Explanations

    negative statements or refusal in a sentence

    oai_token-act-pair · gpt-3.5-turbo

    contexts of disbelief or negation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Less
    -0.69
     Unfortunately
    -0.68
    Unfortunately
    -0.66
     Sadly
    -0.63
    Vers
    -0.63
    later
    -0.62
     Less
    -0.60
    Sadly
    -0.59
    Pie
    -0.58
    DON
    -0.57
    POSITIVE LOGITS
     nor
    0.84
     anywhere
    0.78
    plete
    0.78
     whatsoever
    0.77
     even
    0.75
     anybody
    0.73
     anything
    0.72
    existent
    0.71
     any
    0.70
     ANY
    0.70
    Activations Density 0.402%

    No Known Activations