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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. 1-RES-JB
    11. 20860
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    Explanations

    phrases related to the handling or management of various tasks or issues

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "handling" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hemat
    -0.74
    ony
    -0.68
    si
    -0.67
    atory
    -0.67
    mare
    -0.67
    chrom
    -0.65
    ulet
    -0.64
    urt
    -0.63
    sky
    -0.62
    iration
    -0.62
    POSITIVE LOGITS
     handling
    1.06
     mishand
    0.89
     handled
    0.88
    bars
    0.85
     handles
    0.85
     handle
    0.82
     Handling
    0.82
     Handle
    0.76
     guiName
    0.74
    ãĤ¢ãĥ«
    0.71
    Activations Density 0.008%

    No Known Activations