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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. 3-RES-JB
    11. 6496
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    Explanations

    references to interactions with a screen or touchscreen

    oai_token-act-pair · gpt-3.5-turbo

    references to screens and displays in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ortium
    -0.75
    ETH
    -0.74
    doms
    -0.72
    lesh
    -0.69
    aternal
    -0.69
     Carnegie
    -0.68
    IGH
    -0.68
    emort
    -0.67
    tta
    -0.67
    vernment
    -0.67
    POSITIVE LOGITS
    plays
    1.14
     screens
    1.06
     screen
    0.99
    tops
    0.90
    screen
    0.88
     TVs
    0.88
     wallpaper
    0.86
     wip
    0.82
    printed
    0.79
    caps
    0.79
    Activations Density 0.014%

    No Known Activations