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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. 6-RES-JB
    6. 16375
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    Explanations

    words related to actions or skills

    oai_token-act-pair · gpt-3.5-turbo

    terms related to economic transactions and business actions

    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
    aceae
    -0.76
    osuke
    -0.76
    quickShipAvailable
    -0.71
    DragonMagazine
    -0.69
     suppose
    -0.67
    ":"/
    -0.67
    microsoft
    -0.65
    pmwiki
    -0.64
    edom
    -0.63
    initions
    -0.62
    POSITIVE LOGITS
    ulate
    0.91
    uate
    0.86
    lessly
    0.84
    matically
    0.77
    ishly
    0.70
    iably
    0.66
    strate
    0.66
     oneself
    0.66
    atively
    0.65
    ify
    0.65
    Activations Density 0.458%

    No Known Activations