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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. 1763
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    Explanations

    command verbs with a future tense structure

    oai_token-act-pair · gpt-3.5-turbo

    repeated phrases indicating future anticipation or intention

    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
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    No Comments

    Negative Logits
    quickShipAvailable
    -0.71
     Healthy
    -0.62
     weakened
    -0.59
     Sources
    -0.57
     Detection
    -0.57
     Simulator
    -0.56
    lished
    -0.56
     Abbas
    -0.56
     ..............
    -0.55
     Leban
    -0.55
    POSITIVE LOGITS
    uminati
    1.31
     NEVER
    0.90
     gladly
    0.84
     be
    0.82
    iam
    0.81
    inois
    0.81
    igate
    0.80
    upload
    0.80
     try
    0.78
    never
    0.78
    Activations Density 0.022%

    No Known Activations