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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. 8-RES-JB
    6. 16993
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    Explanations

    instances where something is completely done or changed

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize totality or thoroughness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    maid
    -0.84
    mere
    -0.76
    pring
    -0.73
    yer
    -0.69
    AMY
    -0.68
    pires
    -0.68
    bourg
    -0.66
    ILY
    -0.66
    liest
    -0.66
     Springs
    -0.65
    POSITIVE LOGITS
     overhaul
    0.84
     immersed
    0.82
     obliter
    0.82
    heartedly
    0.80
     annihil
    0.80
     disregard
    0.79
     disreg
    0.79
     reliant
    0.78
     revamped
    0.77
     erad
    0.77
    Activations Density 0.038%

    No Known Activations