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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. 7208
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    Explanations

    proper nouns related to technology and camera brands

    oai_token-act-pair · gpt-3.5-turbo

    brand names associated with cameras and imaging technologies

    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
    hov
    -0.81
    stract
    -0.72
    Drug
    -0.71
    hog
    -0.70
    enance
    -0.69
    gb
    -0.68
    AIDS
    -0.67
    hirt
    -0.66
    æĸ¹
    -0.65
    OOL
    -0.65
    POSITIVE LOGITS
    ical
    1.06
     Canon
    0.98
    icals
    0.97
    nect
    0.92
    obook
    0.85
    hedral
    0.81
     EF
    0.78
    oreal
    0.77
    ique
    0.76
    icles
    0.75
    Activations Density 0.010%

    No Known Activations