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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. 8711
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    Explanations

    references to survivors of various situations or events

    oai_token-act-pair · gpt-3.5-turbo

    references to survivors of various traumatic events

    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
    bledon
    -0.79
    appa
    -0.79
    eanor
    -0.73
     snipp
    -0.71
    estic
    -0.71
    æ©Ł
    -0.70
    urb
    -0.68
    headed
    -0.68
    ueller
    -0.67
    ono
    -0.67
    POSITIVE LOGITS
     survivors
    1.18
     Survivors
    1.10
     Survive
    0.95
     survivor
    0.94
     testimonies
    0.92
     Survivor
    0.86
    Surv
    0.85
     Surviv
    0.83
    surv
    0.76
     Rena
    0.73
    Activations Density 0.009%

    No Known Activations