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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. 0-RES-JB
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    Explanations

    words related to enjoyment and positive experiences

    oai_token-act-pair · gpt-3.5-turbo

    expressions of enjoyment or positive experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Wr
    -0.66
     Surgery
    -0.62
    las
    -0.61
     Wrong
    -0.61
    Letter
    -0.60
     Whit
    -0.60
    bound
    -0.58
     Correct
    -0.57
     Minute
    -0.57
     Turning
    -0.57
    POSITIVE LOGITS
     enjoy
    3.39
     enjoyed
    2.35
     enjoys
    2.31
     enjoying
    2.23
     Enjoy
    2.14
    Enjoy
    1.97
     enjoyment
    1.83
     appreciate
    1.65
     indulge
    1.65
     cherish
    1.50
    Activations Density 0.015%

    No Known Activations