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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. 10228
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    Explanations

    referencing the action of recording visual information or wiretapping

    oai_token-act-pair · gpt-3.5-turbo

    terms related to video recording and surveillance

    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
    ophy
    -0.83
     Migration
    -0.74
     Mineral
    -0.73
     migration
    -0.70
    cious
    -0.70
     Azure
    -0.69
     Borderlands
    -0.69
    mods
    -0.69
     Core
    -0.69
    inguished
    -0.68
    POSITIVE LOGITS
     videot
    2.76
     wiret
    2.55
     photoc
    1.67
     rehe
    1.63
     Newsp
    1.53
     eaves
    1.52
     microw
    1.48
     electronically
    1.41
     verbally
    1.41
     typew
    1.40
    Activations Density 0.061%

    No Known Activations