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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. 23119
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    Explanations

    phrases related to perspectives and viewpoints

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to perspective and analysis

    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
    aband
    -0.69
    laus
    -0.65
    riers
    -0.65
     persisted
    -0.64
     renown
    -0.62
    shown
    -0.62
    rious
    -0.61
    baugh
    -0.60
     ensued
    -0.60
    nia
    -0.60
    POSITIVE LOGITS
     perspective
    0.97
     objectively
    0.95
     differently
    0.94
     context
    0.89
     narrowly
    0.85
     holistic
    0.84
     broadly
    0.82
     totality
    0.82
     cautiously
    0.82
     metaphor
    0.82
    Activations Density 0.307%

    No Known Activations