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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. 1-RES-JB
    11. 2192
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    INDEX
    Explanations

    references to screen resolutions, specifically focusing on 1080p

    oai_token-act-pair · gpt-3.5-turbo

    reference to resolutions in digital video or display specifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atory
    -0.69
     Proposition
    -0.69
    notation
    -0.68
    sole
    -0.68
    aer
    -0.67
    hammad
    -0.67
    isman
    -0.65
    rely
    -0.65
    zai
    -0.64
    vet
    -0.64
    POSITIVE LOGITS
     1080
    1.15
    1080
    1.00
     ILCS
    1.00
     GTX
    0.85
    eenth
    0.84
     CLIENT
    0.82
     720
    0.80
     1440
    0.80
     certs
    0.78
     redes
    0.77
    Activations Density 0.009%

    No Known Activations