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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. 19768
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    Explanations

    terms related to innovative or novel concepts

    oai_token-act-pair · gpt-3.5-turbo

    references to new and challenging ideas

    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
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    Negative Logits
    administ
    -0.70
    ded
    -0.68
     occupancy
    -0.68
    ursed
    -0.63
    eor
    -0.63
     Mamm
    -0.63
    ord
    -0.61
    ords
    -0.61
    \/\/
    -0.61
    tenance
    -0.61
    POSITIVE LOGITS
     ideas
    0.88
     Ideas
    0.86
    ensical
    0.78
     notions
    0.74
     underlying
    0.74
    ĸļ
    0.72
    ually
    0.70
    matter
    0.69
    reprene
    0.68
     concepts
    0.66
    Activations Density 0.025%

    No Known Activations