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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. 4-RES-JB
    11. 1280
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    Explanations

    phrases or words related to extreme or radical ideas

    oai_token-act-pair · gpt-3.5-turbo

    references to fringe elements or fringe ideologies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    auga
    -0.83
    ynthesis
    -0.79
    ivia
    -0.77
    itars
    -0.73
    odium
    -0.70
    oho
    -0.69
    ============
    -0.66
     congr
    -0.65
    ebus
    -0.65
    houn
    -0.64
    POSITIVE LOGITS
     fringe
    1.11
    mere
    0.98
    lore
    0.88
    odox
    0.81
     guiActiveUn
    0.80
    tips
    0.80
    posts
    0.75
    bare
    0.70
    iary
    0.69
     outl
    0.69
    Activations Density 0.012%

    No Known Activations