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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. 17065
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    Explanations

    companies or organizations in a sentence

    oai_token-act-pair · gpt-3.5-turbo

    references to common species, vehicles, and general nouns related to animals and objects

    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
     Niet
    -0.68
     Gaw
    -0.64
     Palest
    -0.63
     Azerb
    -0.60
    stood
    -0.58
    lear
    -0.56
    ij士
    -0.55
     nostalg
    -0.55
     Kurd
    -0.55
     Genie
    -0.55
    POSITIVE LOGITS
    peed
    0.77
    ource
    0.76
    CRIPTION
    0.72
    ilver
    0.71
    afety
    0.66
    pace
    0.65
    chwitz
    0.64
    cius
    0.63
    utenberg
    0.63
    ixtape
    0.63
    Activations Density 0.182%

    No Known Activations