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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. 10-RES-JB
    11. 5030
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    Explanations

    terms related to technology and innovation

    oai_token-act-pair · gpt-3.5-turbo

    topics related to entertainment industries and cultural references

    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
    icum
    -0.71
    rame
    -0.69
    actionDate
    -0.66
    lihood
    -0.66
     Transcript
    -0.65
    ģ«
    -0.61
    mean
    -0.61
    selves
    -0.61
    estamp
    -0.60
     "$:/
    -0.60
    POSITIVE LOGITS
     innovation
    1.04
     excellence
    0.99
     activism
    0.91
     creativity
    0.90
     storytelling
    0.87
     exploration
    0.87
     filmmaking
    0.86
     experimentation
    0.84
     journalism
    0.83
     warfare
    0.83
    Activations Density 0.417%

    No Known Activations