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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. 9-RES-JB
    6. 12168
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    INDEX
    Explanations

    names of countries

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific countries and their contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Staten
    -0.67
    uggest
    -0.63
    hide
    -0.60
     Indianapolis
    -0.60
    Berry
    -0.58
     Kenyan
    -0.57
     deposition
    -0.56
    IU
    -0.56
     cues
    -0.56
    INTER
    -0.55
    POSITIVE LOGITS
    's
    0.71
     wat
    0.68
    rir
    0.65
     City
    0.64
    levision
    0.63
    wide
    0.63
    isible
    0.63
    ourning
    0.63
    flags
    0.63
    ophob
    0.62
    Activations Density 0.210%

    No Known Activations