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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. 5812
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    Explanations

    words related to drawing lines or distinctions between entities

    oai_token-act-pair · gpt-3.5-turbo

    phrases that involve drawing distinctions or lines, often in a contentious context

    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
    âķIJâķIJ
    -0.63
    ntil
    -0.61
    seek
    -0.60
    speak
    -0.59
    Boost
    -0.58
     prevailed
    -0.57
     tradem
    -0.57
    uploads
    -0.57
    hops
    -0.57
    ruciating
    -0.56
    POSITIVE LOGITS
     attention
    1.05
     ire
    0.98
     conclusions
    0.97
     conclusion
    0.90
     parallels
    0.84
     curtains
    0.83
    circle
    0.82
    DragonMagazine
    0.81
    MpServer
    0.80
     inference
    0.79
    Activations Density 0.087%

    No Known Activations