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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. 6-RES-JB
    11. 18876
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    Explanations

    expressions of gratitude

    oai_token-act-pair · gpt-3.5-turbo

    expressions of gratitude and acknowledgment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    é¾
    -0.75
     1860
    -0.70
    rooms
    -0.67
    destruct
    -0.66
     Weed
    -0.63
     Genius
    -0.63
    change
    -0.60
     Ultron
    -0.60
    cars
    -0.59
     Osc
    -0.59
    POSITIVE LOGITS
    giving
    1.10
    axter
    0.92
    gements
    0.91
     acknowled
    0.83
     thank
    0.81
    rats
    0.80
    gement
    0.77
     Thanks
    0.76
     THANK
    0.76
     Thank
    0.76
    Activations Density 0.029%

    No Known Activations