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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 6-RES-JB
    11. 11927
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    Explanations

    phrases related to legal or legislative actions, specifically those involving different countries

    oai_token-act-pair · gpt-3.5-turbo

    the character 'Ļ' which appears frequently in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     decomp
    -0.69
     Garmin
    -0.67
     weave
    -0.67
     camouflage
    -0.66
     pretext
    -0.64
     orgasm
    -0.64
     smugglers
    -0.63
     burner
    -0.63
     yarn
    -0.63
     imagination
    -0.62
    POSITIVE LOGITS
    ï¸ı
    0.88
    wide
    0.81
    nai
    0.80
    SHIP
    0.80
    Northern
    0.78
    HQ
    0.76
    mand
    0.76
    士
    0.74
    payer
    0.74
    via
    0.73
    Activations Density 0.285%

    No Known Activations