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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. 12-RES-JB
    11. 4433
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    Explanations

    dates in the format of month followed by number, likely indicating referencing specific events or time frames

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    references to dates and articles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    osponsors
    -0.79
    ishers
    -0.77
    encia
    -0.75
    agents
    -0.74
    ieu
    -0.74
    ographs
    -0.74
     equivalents
    -0.73
    artifacts
    -0.73
    Apply
    -0.71
    Instruct
    -0.71
    POSITIVE LOGITS
     2007
    0.99
     2005
    0.99
     spate
    0.98
     2009
    0.97
     slew
    0.96
     2006
    0.95
     variety
    0.95
     lawsuit
    0.93
     2002
    0.93
     2004
    0.92
    Activations Density 0.291%

    No Known Activations