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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. 6-RES-JB
    11. 7183
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    Explanations

    words related to strong negative feelings, particularly hatred

    oai_token-act-pair · gpt-3.5-turbo

    intense expressions of dislike or hatred

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ItemImage
    -0.95
    DragonMagazine
    -0.89
    aunder
    -0.82
    igmatic
    -0.81
    aver
    -0.80
    istics
    -0.80
    aqu
    -0.79
    enture
    -0.77
    uggest
    -0.75
    ItemThumbnailImage
    -0.74
    POSITIVE LOGITS
    fully
    1.03
     hated
    0.98
     hate
    0.86
     wasting
    0.81
     hates
    0.77
    hate
    0.73
    FUL
    0.72
     passionately
    0.70
     dearly
    0.69
     Hate
    0.69
    Activations Density 0.029%

    No Known Activations