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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. 10-RES-JB
    11. 8141
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    Explanations

    the word "re"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "we" indicating a collective or group sentiment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inav
    -0.80
     aid
    -0.75
    osion
    -0.74
     Bernstein
    -0.72
     Mayer
    -0.69
    iveness
    -0.69
    iator
    -0.68
     SetTextColor
    -0.68
     Meier
    -0.65
    ographer
    -0.65
    POSITIVE LOGITS
     gonna
    1.04
    selves
    1.00
    doing
    0.88
    hers
    0.84
     proud
    0.83
    ngth
    0.83
     thankful
    0.83
    sorry
    0.81
    bringing
    0.80
    rats
    0.79
    Activations Density 0.054%

    No Known Activations