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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. 17579
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    INDEX
    Explanations

    phrases or sentences describing regrettable or unfortunate situations

    oai_token-act-pair · gpt-3.5-turbo

    expressions of unfortunate events or situations

    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
    ynthesis
    -0.87
    ership
    -0.84
    tein
    -0.82
    chan
    -0.81
    alach
    -0.80
    runner
    -0.79
    orney
    -0.78
    runners
    -0.77
    ensional
    -0.75
    insula
    -0.72
    POSITIVE LOGITS
     unfortunate
    0.90
     adolesc
    0.84
     circumstance
    0.83
     misfortune
    0.76
     circumstances
    0.75
     consequence
    0.71
     accidents
    0.70
     fools
    0.70
     bystanders
    0.70
     coincidence
    0.68
    Activations Density 0.008%

    No Known Activations