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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. 6-RES-JB
    6. 8930
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    Explanations

    verbs that denote some form of action or activity, often related to sharing, suggesting, discussing, testing, asking, showing, providing, editing, filming, viewing, recommending, uploading, warning, making, and revealing

    oai_token-act-pair · gpt-3.5-turbo

    verbs related to actions that have been performed or completed

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rouse
    -0.66
    rients
    -0.61
    chal
    -0.60
    ears
    -0.57
     offending
    -0.55
    arist
    -0.55
     Latter
    -0.54
     pops
    -0.53
     Origin
    -0.52
    rit
    -0.52
    POSITIVE LOGITS
     lately
    0.82
     since
    0.80
     by
    0.76
     psychiat
    0.75
     elsewhere
    0.74
     unanimously
    0.70
    otyp
    0.69
    Ͻ
    0.69
    iasco
    0.69
    IFIED
    0.69
    Activations Density 0.153%

    No Known Activations