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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. 12765
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    Explanations

    words ending in 'ern'

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific names or entities

    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
     trickle
    -0.70
     subsid
    -0.64
     bout
    -0.64
    tin
    -0.63
     Gamble
    -0.63
     marrow
    -0.63
     bluff
    -0.60
     EVs
    -0.59
    escal
    -0.58
    Arcade
    -0.58
    POSITIVE LOGITS
    acle
    1.19
    acles
    1.08
    atural
    1.06
    esis
    1.00
    auts
    0.99
    sburg
    0.95
    acular
    0.95
    icus
    0.93
    igans
    0.93
    esse
    0.91
    Activations Density 0.025%

    No Known Activations