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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. 7-RES-JB
    11. 9760
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    Explanations

    mentions of 4K and 8K resolution formats in the context of movies and technology

    oai_token-act-pair · gpt-3.5-turbo

    references to 4K and 5G technologies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ©
    -0.72
    abal
    -0.72
    Recomm
    -0.70
     Hitchcock
    -0.69
     Weeks
    -0.67
     Osw
    -0.61
    fried
    -0.60
    emi
    -0.60
    osaurus
    -0.59
    alid
    -0.58
    POSITIVE LOGITS
    bps
    1.06
    hz
    0.93
     LTE
    0.90
    +,
    0.79
     TVs
    0.78
    igmatic
    0.77
    apixel
    0.76
    +.
    0.76
    Hz
    0.74
    imensional
    0.72
    Activations Density 0.056%

    No Known Activations