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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. 12777
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    Explanations

    phrases related to expertise and knowledge

    oai_token-act-pair · gpt-3.5-turbo

    negative phrases possibly related to critiques or evaluations

    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
     AVG
    -0.69
     Klux
    -0.64
     Moj
    -0.60
     confidence
    -0.60
     Saunders
    -0.60
     ABE
    -0.58
     Bohem
    -0.58
     mainline
    -0.58
     Cec
    -0.58
     Sierra
    -0.57
    POSITIVE LOGITS
    based
    1.04
    of
    1.01
    backed
    0.99
    filled
    0.99
    busters
    0.96
    finding
    0.95
    eye
    0.95
    tale
    0.94
    taker
    0.94
    laden
    0.93
    Activations Density 0.101%

    No Known Activations