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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 2-RES-JB
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    Explanations

    words related to productivity and being productive

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "productive" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    adr
    -0.77
    outed
    -0.73
    oho
    -0.72
    aida
    -0.71
    onne
    -0.71
    hin
    -0.68
    nic
    -0.67
    mere
    -0.67
    extreme
    -0.66
    ide
    -0.66
    POSITIVE LOGITS
     productive
    1.07
     productivity
    0.84
    ãĥ¼ãĥĨ
    0.82
    productive
    0.76
     habits
    0.69
    tenance
    0.69
     agric
    0.68
     jo
    0.68
     workspace
    0.67
     outputs
    0.67
    Activations Density 0.008%

    No Known Activations