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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. 9-RES-JB
    11. 16103
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    Explanations

    phrases related to death and fatal injuries

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to death and causes of death

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yssey
    -0.93
    soDeliveryDate
    -0.91
    istry
    -0.80
    ĸļ
    -0.78
    iland
    -0.75
    女
    -0.74
    oyer
    -0.72
     campuses
    -0.71
    UTH
    -0.71
    essional
    -0.69
    POSITIVE LOGITS
     pneumonia
    1.19
     gunshot
    1.17
     starvation
    1.15
     dehydration
    1.15
     illness
    1.13
     malnutrition
    1.13
     overdose
    1.13
     overdoses
    1.12
     exhaustion
    1.11
     complications
    1.06
    Activations Density 0.118%

    No Known Activations