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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. 22859
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    Explanations

    situations related to earning recognition or rewards

    oai_token-act-pair · gpt-3.5-turbo

    expressions of achievement or recognition

    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
    seek
    -0.64
     Doors
    -0.64
    igraph
    -0.63
    gae
    -0.62
    omo
    -0.61
    ovo
    -0.60
     processes
    -0.59
    anwhile
    -0.58
    VIDIA
    -0.58
    eki
    -0.58
    POSITIVE LOGITS
     foothold
    1.19
     notoriety
    1.14
     traction
    0.95
     reputation
    0.90
     coveted
    0.89
     renown
    0.87
     ire
    0.83
     legitimacy
    0.82
     nickname
    0.82
     fame
    0.81
    Activations Density 0.249%

    No Known Activations