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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. 6-RES-JB
    11. 14933
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    Explanations

    references to media playback operations

    oai_token-act-pair · gpt-3.5-turbo

    terms related to media playback

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     recl
    -0.76
    eday
    -0.75
    atra
    -0.71
    aunder
    -0.69
    atri
    -0.68
    ikarp
    -0.67
    omics
    -0.66
    atown
    -0.64
    alde
    -0.64
    olk
    -0.64
    POSITIVE LOGITS
     Thumbnails
    0.94
     caption
    0.76
     playback
    0.76
    CLASSIFIED
    0.74
     Videos
    0.73
     WATCH
    0.73
     Provided
    0.72
    taboola
    0.71
     IMAGES
    0.71
     labelled
    0.70
    Activations Density 0.004%

    No Known Activations