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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. 4-RES-JB
    11. 148
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    Explanations

    mentions of agents, both secret and official, in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of various types of agents

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

    No Comments

    Negative Logits
    issance
    -0.99
    lihood
    -0.92
    etooth
    -0.80
    FACE
    -0.72
    ĸļ
    -0.72
    nz
    -0.71
    phrine
    -0.69
    cept
    -0.68
    ths
    -0.67
    orld
    -0.65
    POSITIVE LOGITS
     agent
    1.02
    agent
    0.96
     agents
    0.95
    agents
    0.95
     Agent
    0.94
     prov
    0.92
     Agents
    0.86
    ilage
    0.82
    Agent
    0.80
    sov
    0.79
    Activations Density 0.018%

    No Known Activations