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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 17923
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    Explanations

    words related to hatred and hate crimes

    oai_token-act-pair · gpt-3.5-turbo

    references to hate crimes and hate speech

    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
    ufact
    -0.80
    æ©Ł
    -0.80
    aver
    -0.76
    idges
    -0.73
    Decre
    -0.73
    clinton
    -0.71
    é¾įå
    -0.71
    ioned
    -0.71
     Tablet
    -0.71
    UNCH
    -0.70
    POSITIVE LOGITS
    fulness
    1.13
    fully
    1.11
     crimes
    1.01
     vengeance
    0.91
    ful
    0.89
     hate
    0.84
    bre
    0.82
     prejudice
    0.82
    hate
    0.80
     crime
    0.79
    Activations Density 0.023%

    No Known Activations