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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. 7-RES-JB
    11. 14559
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    Explanations

    keywords related to hope and anticipation

    oai_token-act-pair · gpt-3.5-turbo

    the word "would" and its variations, indicating expressions of possibility or hypothetical situations

    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
     sweats
    -0.61
    DAQ
    -0.61
    76561
    -0.60
     Kardash
    -0.59
    Tips
    -0.56
    awan
    -0.56
    raq
    -0.56
     Kat
    -0.56
     contrasted
    -0.56
     booth
    -0.55
    POSITIVE LOGITS
     be
    1.11
     someday
    1.11
     eventually
    1.05
    soon
    0.89
     sooner
    0.88
     arrive
    0.87
     succeed
    0.87
     somehow
    0.87
     become
    0.86
     regress
    0.81
    Activations Density 0.215%

    No Known Activations