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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. 20018
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    Explanations

    phrases related to fear, horror, or discomfort

    oai_token-act-pair · gpt-3.5-turbo

    descriptions of frightening or unsettling effects

    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
    rian
    -0.86
    hers
    -0.84
    elf
    -0.78
    ystem
    -0.76
    TeX
    -0.75
    pub
    -0.75
    yards
    -0.75
    agree
    -0.73
    yard
    -0.73
    xy
    -0.72
    POSITIVE LOGITS
     chilling
    0.93
     whistle
    0.76
     chill
    0.75
    CLASSIFIED
    0.72
    istically
    0.72
     voic
    0.70
    espie
    0.69
     effect
    0.68
     ambient
    0.67
     Contra
    0.66
    Activations Density 0.017%

    No Known Activations