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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. 24375
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    Explanations

    phrases indicating activities or actions performed by individuals on social media platforms

    oai_token-act-pair · gpt-3.5-turbo

    expressions indicating an action of taking to social media or public platforms

    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
     <-
    -0.62
    frames
    -0.62
     Machina
    -0.61
     Mage
    -0.59
     Gap
    -0.59
    ONSORED
    -0.58
     cheated
    -0.57
     hypoc
    -0.57
     discriminated
    -0.56
    holders
    -0.55
    POSITIVE LOGITS
    pless
    0.86
    ãĥīãĥ©
    0.75
    pload
    0.70
     form
    0.67
    wing
    0.66
    psy
    0.61
    onement
    0.61
    rolet
    0.61
     externalToEVAOnly
    0.61
    aptic
    0.60
    Activations Density 0.045%

    No Known Activations