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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. 7-RES-JB
    6. 20180
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    Explanations

    phrases related to plans, visions, and ideas

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express plans or visions for future actions or developments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mone
    -0.78
    note
    -0.77
    bench
    -0.72
    entimes
    -0.71
    govtrack
    -0.69
    keys
    -0.68
    checks
    -0.68
    ears
    -0.67
    eps
    -0.66
    nces
    -0.66
    POSITIVE LOGITS
     redevelop
    0.94
     plans
    0.89
     future
    0.89
     reorgan
    0.87
     overhaul
    0.82
     constructing
    0.80
     remod
    0.78
     transforming
    0.77
     arrang
    0.76
     2030
    0.76
    Activations Density 0.251%

    No Known Activations