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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. 7-RES-JB
    11. 11262
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    Explanations

    terms related to actions or processes such as adding, granting, providing, looking, employing, turning, making, choosing, dropping, modifying, adopting

    oai_token-act-pair · gpt-3.5-turbo

    verbs indicating actions related to addition or contribution

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eria
    -0.77
    uyomi
    -0.69
     awaits
    -0.67
    exist
    -0.67
    arat
    -0.65
     awaiting
    -0.65
    burgh
    -0.62
    aina
    -0.61
     proceeding
    -0.61
    oha
    -0.60
    POSITIVE LOGITS
     oneself
    0.77
     yourself
    0.61
    omorphic
    0.61
    omorph
    0.59
     ILCS
    0.58
    ASED
    0.57
    redients
    0.57
     nuns
    0.57
     guiActive
    0.57
    RED
    0.57
    Activations Density 0.176%

    No Known Activations