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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. 8-RES-JB
    11. 8341
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    Explanations

    words related to hate and hate crimes

    oai_token-act-pair · gpt-3.5-turbo

    references to hate-related topics and incidents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •GPT2 Layer 8 Movie Sentiment Features

    No Comments

    Negative Logits
     Pione
    -0.77
    aver
    -0.77
    enture
    -0.74
    clinton
    -0.73
     Examination
    -0.71
    idges
    -0.71
    ature
    -0.70
    ioned
    -0.69
    interstitial
    -0.68
    akeru
    -0.67
    POSITIVE LOGITS
    fully
    1.18
    fulness
    1.07
     crimes
    0.96
    ful
    0.94
     speech
    0.82
    bre
    0.82
     crime
    0.81
     mobs
    0.80
    hound
    0.76
     vengeance
    0.75
    Activations Density 0.037%

    No Known Activations