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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 19324
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    Explanations

    people or things referred to as "agents."

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of agents, particularly in contexts involving espionage or undercover operations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    issance
    -0.86
    FACE
    -0.84
    lihood
    -0.83
    etooth
    -0.73
    jri
    -0.72
    ths
    -0.71
    rise
    -0.69
    vironment
    -0.67
    frey
    -0.67
    cept
    -0.67
    POSITIVE LOGITS
     prov
    1.12
     agent
    0.94
     posing
    0.92
     Agent
    0.91
     Agents
    0.90
     agents
    0.90
    agent
    0.90
    Agent
    0.81
    agents
    0.80
    iola
    0.76
    Activations Density 0.039%

    No Known Activations