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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. 19444
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    Explanations

    requests or demands for specific actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express requests or demands

    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
     Laksh
    -0.63
     Pace
    -0.61
    soDeliveryDate
    -0.61
    grounds
    -0.60
     Nationwide
    -0.60
     motivation
    -0.60
    stead
    -0.58
     plotting
    -0.57
    matter
    -0.55
     Monument
    -0.55
    POSITIVE LOGITS
     hear
    1.08
     borrow
    1.02
     know
    0.91
     see
    0.91
     differ
    0.86
     receive
    0.84
     be
    0.83
     speak
    0.81
    ilet
    0.80
    pless
    0.79
    Activations Density 0.165%

    No Known Activations