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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. 3-RES-JB
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    Explanations

    phrases related to productivity and work efficiency

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "productive."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mere
    -0.72
    wit
    -0.71
    olog
    -0.70
    hin
    -0.69
    Origin
    -0.69
    him
    -0.68
    oho
    -0.67
    bole
    -0.66
    adr
    -0.65
    outed
    -0.64
    POSITIVE LOGITS
     productive
    1.01
    ãĥ¼ãĥĨ
    0.86
     productivity
    0.83
    productive
    0.80
    rious
    0.75
    itures
    0.72
     Archdemon
    0.72
    ctions
    0.71
    Desk
    0.69
    ivity
    0.68
    Activations Density 0.008%

    No Known Activations