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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. 5-RES-JB
    6. 14137
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    Explanations

    medical conditions and technical terms related to equipment

    oai_token-act-pair · gpt-3.5-turbo

    specific keywords related to low levels or declining trends in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SPONSORED
    -0.69
    frey
    -0.68
    ADRA
    -0.66
    ophob
    -0.66
    MODE
    -0.65
     Gate
    -0.63
     Gleaming
    -0.62
    Pal
    -0.61
    ove
    -0.61
    çīĪ
    -0.60
    POSITIVE LOGITS
     incidence
    0.82
     (<
    0.77
    acco
    0.73
    effic
    0.72
    eco
    0.71
    jri
    0.69
    abor
    0.68
     wast
    0.68
     pesky
    0.66
     concentration
    0.64
    Activations Density 0.279%

    No Known Activations