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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. 3-RES-JB
    11. 8823
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    Explanations

    words related to negative feelings or actions, particularly those involving harmful intentions or outcomes

    oai_token-act-pair · gpt-3.5-turbo

    words related to various forms of meaning and definitions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ModLoader
    -0.71
    fml
    -0.71
     Adin
    -0.66
     dared
    -0.65
     schooling
    -0.65
    ĵĺ
    -0.64
     hypers
    -0.64
     srf
    -0.64
     warranted
    -0.61
     unexplained
    -0.61
    POSITIVE LOGITS
    ufact
    0.94
    agement
    0.90
    acements
    0.87
    ciating
    0.83
    gage
    0.74
    liction
    0.72
    yll
    0.72
    icans
    0.72
    olitics
    0.71
    asures
    0.71
    Activations Density 0.134%

    No Known Activations