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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. 4-RES-JB
    11. 15552
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    Explanations

    phrases related to unusual or disruptive actions

    oai_token-act-pair · gpt-3.5-turbo

    negative qualities or unpleasant experiences

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

    No Comments

    Negative Logits
    -0.63
     âĢİ
    -0.55
    �
    -0.54
     iP
    -0.54
    audi
    -0.53
    Rap
    -0.50
     Edmonton
    -0.50
    -0.49
    Chicago
    -0.47
    Toronto
    -0.47
    POSITIVE LOGITS
     guiActiveUn
    0.66
    ãĤ´ãĥ³
    0.66
    pload
    0.62
     Annotations
    0.59
    ghazi
    0.57
     KE
    0.57
    ultimate
    0.53
    dayName
    0.52
    erker
    0.51
     Mechdragon
    0.51
    Activations Density 2.862%

    No Known Activations