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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. 7-RES-JB
    11. 20007
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    Explanations

    references to the philosopher Plato and his dialogues

    oai_token-act-pair · gpt-3.5-turbo

    elements related to philosophical concepts and terminology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     curtains
    -0.72
     Amend
    -0.68
    ĸļ
    -0.68
     curtain
    -0.67
     cheek
    -0.64
    Ô
    -0.64
     footing
    -0.62
    eele
    -0.59
    ktop
    -0.58
     Louie
    -0.58
    POSITIVE LOGITS
    adelphia
    1.12
    ebus
    1.00
    aceutical
    0.79
    Ļ
    0.78
    agall
    0.78
    opter
    0.78
    ogram
    0.76
    iston
    0.75
    ombat
    0.74
    ashtra
    0.73
    Activations Density 0.097%

    No Known Activations