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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. 501
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    INDEX
    Explanations

    references to display resolutions, particularly focusing on 1080p

    oai_token-act-pair · gpt-3.5-turbo

    mentions of screen resolutions, particularly 1080p

    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
    hammad
    -0.71
    notation
    -0.68
    mone
    -0.68
    aer
    -0.67
    Quotes
    -0.67
    kell
    -0.66
    leton
    -0.66
    atory
    -0.66
     synd
    -0.65
     Proposition
    -0.65
    POSITIVE LOGITS
     ILCS
    1.05
     1080
    0.93
    1080
    0.86
     pixels
    0.75
    eenth
    0.74
     CLIENT
    0.74
     GTX
    0.73
     OLED
    0.72
    IELD
    0.72
    °
    0.72
    Activations Density 0.009%

    No Known Activations