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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. 10994
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    Explanations

    phrases related to events or situations that are leading up to something

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate a sequence of events leading to a specific occurrence

    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
    pers
    -0.69
    [/
    -0.66
     Promise
    -0.64
     hold
    -0.63
    avorite
    -0.62
    give
    -0.60
    Maker
    -0.60
     chang
    -0.59
    ynchron
    -0.59
    -)
    -0.59
    POSITIVE LOGITS
    stairs
    1.00
    stage
    0.88
     stairs
    0.78
    scene
    0.73
     earthqu
    0.72
    ãĥŃ
    0.71
    adesh
    0.70
    scenes
    0.69
    production
    0.68
    ngth
    0.68
    Activations Density 0.029%

    No Known Activations