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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. 10-RES-JB
    11. 5386
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    Explanations

    phrases related to demonstrating or explaining something to someone

    oai_token-act-pair · gpt-3.5-turbo

    references to subjects that involve visual presentation or demonstration

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inqu
    -0.73
    ksh
    -0.71
    iHUD
    -0.68
    ãĤ«
    -0.67
    ete
    -0.63
    eter
    -0.62
    ikk
    -0.62
    margin
    -0.59
    chance
    -0.58
    Ĥİ
    -0.57
    POSITIVE LOGITS
     how
    1.17
     pictures
    1.02
     pics
    0.97
     ropes
    0.89
     photos
    0.88
     glimps
    0.87
     photographs
    0.86
     clips
    0.86
     footage
    0.85
     signs
    0.81
    Activations Density 0.097%

    No Known Activations