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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. 5215
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    Explanations

    terms related to preparedness for potential issues or emergencies

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of agencies and their interdependencies

    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
     walking
    -0.74
     walk
    -0.66
     coming
    -0.65
     Messenger
    -0.65
     guaranteed
    -0.64
     Monday
    -0.63
     camera
    -0.62
     Viking
    -0.62
     locker
    -0.62
     Tuesday
    -0.61
    POSITIVE LOGITS
    encies
    4.98
    ency
    2.98
    ENCY
    2.36
    ently
    1.63
    ibilities
    1.56
    reements
    1.55
    ences
    1.53
    ents
    1.52
    ENTS
    1.45
    iencies
    1.44
    Activations Density 0.010%

    No Known Activations