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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. 8-RES-JB
    11. 2276
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    Explanations

    phrases related to following instructions

    oai_token-act-pair · gpt-3.5-turbo

    phrases or words related to instructions or guidance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    bish
    -0.61
     Mississ
    -0.59
     Native
    -0.58
    secution
    -0.58
    prus
    -0.57
    vill
    -0.57
    itol
    -0.57
     underdog
    -0.57
     Patton
    -0.57
     rainy
    -0.56
    POSITIVE LOGITS
     manuals
    0.99
     booklet
    0.95
    eering
    0.94
    auri
    0.89
     manual
    0.89
    Instruct
    0.84
     instructions
    0.83
     Instructions
    0.80
     Manual
    0.79
     instructed
    0.78
    Activations Density 0.058%

    No Known Activations