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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. 0-RES-JB
    6. 3676
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    INDEX
    Explanations

    verbs related to causing or bringing about something

    oai_token-act-pair · gpt-3.5-turbo

    references to various causes or reasons linked to different contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     previews
    -0.78
     Preview
    -0.74
    ivo
    -0.65
    osa
    -0.64
    vis
    -0.64
    notes
    -0.64
     Integration
    -0.64
    back
    -0.63
     Wire
    -0.62
    packed
    -0.61
    POSITIVE LOGITS
     cause
    3.93
    cause
    2.98
     Cause
    2.88
     causes
    2.42
    Cause
    2.32
     Causes
    1.92
     causing
    1.50
     caus
    1.46
     causation
    1.35
     reason
    1.24
    Activations Density 0.023%

    No Known Activations