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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. 2030
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    Explanations

    keywords related to the publishing industry and casting decisions

    oai_token-act-pair · gpt-3.5-turbo

    references to casting and publishing in the context of media and entertainment

    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
    ified
    -0.74
    ifi
    -0.71
    isy
    -0.71
    gro
    -0.71
    imi
    -0.70
    imus
    -0.69
    nered
    -0.69
    uv
    -0.68
    ches
    -0.68
    heimer
    -0.66
    POSITIVE LOGITS
     prowess
    0.93
     conventions
    0.92
    redients
    0.83
     services
    0.77
     expenses
    0.77
     peripher
    0.76
     consultancy
    0.74
     opportunities
    0.74
     woes
    0.73
     cessation
    0.73
    Activations Density 0.078%

    No Known Activations