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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 3659
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    Explanations

    people's job titles or roles within an organization

    oai_token-act-pair · gpt-3.5-turbo

    job titles and positions of individuals in various organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pload
    -0.77
    conn
    -0.68
    APTER
    -0.68
    akespe
    -0.67
     differe
    -0.62
    asted
    -0.62
    ãĤ®
    -0.62
     speedy
    -0.61
    Spoiler
    -0.61
    SPONSORED
    -0.61
    POSITIVE LOGITS
     extraord
    1.25
     WWF
    0.83
     Emer
    0.77
     for
    0.76
     Coordinator
    0.75
     Lara
    0.73
     emer
    0.71
     at
    0.71
     (@
    0.69
    earcher
    0.69
    Activations Density 0.158%

    No Known Activations