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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. 3789
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    Explanations

    phrases or words indicating an increasing trend or progression

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate a rising frequency or occurrence of events or phenomena

    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
    elo
    -0.72
    fen
    -0.72
    yet
    -0.71
     Polo
    -0.69
     Yard
    -0.68
    gio
    -0.68
    eem
    -0.68
    boy
    -0.67
     Release
    -0.67
    crow
    -0.66
    POSITIVE LOGITS
     frustrated
    0.94
     reliant
    0.91
     embold
    0.88
     agitated
    0.83
     alarmed
    0.79
     unpopular
    0.77
     erratic
    0.76
     isol
    0.76
     dissatisfied
    0.75
     uncomfortable
    0.74
    Activations Density 0.019%

    No Known Activations