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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. 9-RES-JB
    11. 5400
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    Explanations

    phrases related to something being too much or excessive

    oai_token-act-pair · gpt-3.5-turbo

    phrases that suggest limitations or impossibilities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    chwitz
    -0.83
    ftime
    -0.77
    ihad
    -0.75
    aldi
    -0.75
    soever
    -0.73
    issance
    -0.72
     largeDownload
    -0.71
    kind
    -0.69
    ãĥĨ
    -0.68
    eneg
    -0.68
    POSITIVE LOGITS
     contemplate
    0.92
     cope
    0.89
     bother
    0.89
     warrant
    0.87
     afford
    0.87
     merit
    0.85
     feas
    0.85
     admit
    0.84
     withstand
    0.83
     bear
    0.82
    Activations Density 0.085%

    No Known Activations