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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. 8-RES-JB
    11. 829
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    Explanations

    the letter "m"

    oai_token-act-pair · gpt-3.5-turbo

    repetitive mentions of the self, particularly in a personal and emotional context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aneers
    -0.67
    pedia
    -0.65
     SetTextColor
    -0.64
     Stability
    -0.61
     lockdown
    -0.60
     Ensure
    -0.59
     Gap
    -0.59
    IZE
    -0.58
     Consumption
    -0.58
     Rab
    -0.57
    POSITIVE LOGITS
    agine
    1.30
     glad
    0.99
     gonna
    0.96
    mediately
    0.92
    ortal
    0.91
     thankful
    0.90
    selves
    0.89
     grateful
    0.89
     guessing
    0.89
    initely
    0.87
    Activations Density 0.036%

    No Known Activations