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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. 12013
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    Explanations

    words related to derogatory remarks or negative connotations

    oai_token-act-pair · gpt-3.5-turbo

    words related to the concept of meaning, specifically through the prefix "dem" and variations thereof

    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
     multif
    -0.70
    ModLoader
    -0.66
     lodging
    -0.60
     strawberries
    -0.59
     Bengal
    -0.59
     Annotations
    -0.59
     mids
    -0.58
     ILCS
    -0.57
     fishing
    -0.57
     pond
    -0.56
    POSITIVE LOGITS
    ufact
    1.07
    oppers
    0.79
    iewicz
    0.79
    agement
    0.74
    kas
    0.72
    ESA
    0.70
    eanor
    0.69
    oppable
    0.69
    rial
    0.68
    esson
    0.68
    Activations Density 0.107%

    No Known Activations