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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. 0-RES-JB
    11. 15802
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    Explanations

    specific mentions related to high-definition video (HD)

    oai_token-act-pair · gpt-3.5-turbo

    references to high-definition video content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     rejo
    -0.70
     mus
    -0.68
     bush
    -0.68
     pigeon
    -0.68
     Witt
    -0.68
     questioning
    -0.66
     Taylor
    -0.66
     circumstance
    -0.65
     waters
    -0.64
     Vend
    -0.64
    POSITIVE LOGITS
    HD
    4.32
    hd
    2.17
     HD
    2.02
    HS
    1.57
    HL
    1.37
    HR
    1.36
    HT
    1.35
    WD
    1.32
     HDD
    1.31
    HB
    1.30
    Activations Density 0.018%

    No Known Activations