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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. 3119
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    Explanations

    words related to high definition technology, particularly focusing on "HD"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of high-definition (HD) video quality

    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
    ãĤ±
    -0.90
    terday
    -0.89
    notations
    -0.84
    é»Ĵ
    -0.84
    glers
    -0.81
    âĸĪâĸĪ
    -0.80
    ãĥĦ
    -0.79
     Schumer
    -0.78
    kers
    -0.78
    é¾įå¥ij士
    -0.77
    POSITIVE LOGITS
    PE
    0.98
    TV
    0.91
    HR
    0.85
    Ds
    0.85
    CP
    0.82
     HD
    0.80
    RI
    0.80
    Mi
    0.75
    ouble
    0.75
    LG
    0.74
    Activations Density 0.005%

    No Known Activations