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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. 4-RES-JB
    11. 784
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    Explanations

    mentions of individuals who have survived difficult or traumatic experiences

    oai_token-act-pair · gpt-3.5-turbo

    references to survivors of traumatic events

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

    No Comments

    Negative Logits
    eanor
    -0.74
    ueller
    -0.71
    istry
    -0.70
    æ©Ł
    -0.69
    bledon
    -0.68
    ono
    -0.67
    brow
    -0.67
    sterdam
    -0.67
    othy
    -0.67
    headed
    -0.66
    POSITIVE LOGITS
     Survivors
    1.05
     survivors
    1.02
     Survive
    0.94
    Surv
    0.83
     Surviv
    0.82
     Survivor
    0.81
     survivor
    0.80
     testimonies
    0.79
     crabs
    0.73
    surv
    0.72
    Activations Density 0.010%

    No Known Activations