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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

    the name "Sus" or similar variations

    oai_token-act-pair · gpt-3.5-turbo

    references to the name "Sus" and its variations in different contexts

    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
    è¦ļéĨĴ
    -0.83
     learning
    -0.74
    anwhile
    -0.71
     living
    -0.70
    hetti
    -0.70
     overhead
    -0.69
     tuning
    -0.67
     machinery
    -0.66
     shaping
    -0.66
     inertia
    -0.66
    POSITIVE LOGITS
    annah
    1.08
    Sus
    1.05
    pect
    0.99
    pected
    0.96
     Sus
    0.95
    pects
    0.93
    pic
    0.89
    pecting
    0.87
    itiz
    0.81
    seys
    0.79
    Activations Density 0.006%

    No Known Activations